{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import metrics\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn import kernel_approximation\n",
    "from sklearn.linear_model import SGDClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 特征研究"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "300000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>AppointmentRegistration</th>\n",
       "      <th>ApointmentData</th>\n",
       "      <th>DayOfTheWeek</th>\n",
       "      <th>Status</th>\n",
       "      <th>Diabetes</th>\n",
       "      <th>Alcoolism</th>\n",
       "      <th>HiperTension</th>\n",
       "      <th>Handcap</th>\n",
       "      <th>Smokes</th>\n",
       "      <th>Scholarship</th>\n",
       "      <th>Tuberculosis</th>\n",
       "      <th>Sms_Reminder</th>\n",
       "      <th>AwaitingTime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>M</td>\n",
       "      <td>2014-12-16T14:46:25Z</td>\n",
       "      <td>2015-01-14T00:00:00Z</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>Show-Up</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>24</td>\n",
       "      <td>F</td>\n",
       "      <td>2015-08-18T07:01:26Z</td>\n",
       "      <td>2015-08-19T00:00:00Z</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>Show-Up</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>F</td>\n",
       "      <td>2014-02-17T12:53:46Z</td>\n",
       "      <td>2014-02-18T00:00:00Z</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>Show-Up</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>M</td>\n",
       "      <td>2014-07-23T17:02:11Z</td>\n",
       "      <td>2014-08-07T00:00:00Z</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Show-Up</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>38</td>\n",
       "      <td>M</td>\n",
       "      <td>2015-10-21T15:20:09Z</td>\n",
       "      <td>2015-10-27T00:00:00Z</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>Show-Up</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age Gender AppointmentRegistration        ApointmentData DayOfTheWeek  \\\n",
       "0   19      M    2014-12-16T14:46:25Z  2015-01-14T00:00:00Z    Wednesday   \n",
       "1   24      F    2015-08-18T07:01:26Z  2015-08-19T00:00:00Z    Wednesday   \n",
       "2    4      F    2014-02-17T12:53:46Z  2014-02-18T00:00:00Z      Tuesday   \n",
       "3    5      M    2014-07-23T17:02:11Z  2014-08-07T00:00:00Z     Thursday   \n",
       "4   38      M    2015-10-21T15:20:09Z  2015-10-27T00:00:00Z      Tuesday   \n",
       "\n",
       "    Status  Diabetes  Alcoolism  HiperTension  Handcap  Smokes  Scholarship  \\\n",
       "0  Show-Up         0          0             0        0       0            0   \n",
       "1  Show-Up         0          0             0        0       0            0   \n",
       "2  Show-Up         0          0             0        0       0            0   \n",
       "3  Show-Up         0          0             0        0       0            0   \n",
       "4  Show-Up         0          0             0        0       0            0   \n",
       "\n",
       "   Tuberculosis  Sms_Reminder  AwaitingTime  \n",
       "0             0             0           -29  \n",
       "1             0             0            -1  \n",
       "2             0             0            -1  \n",
       "3             0             1           -15  \n",
       "4             0             1            -6  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('../data/No-show-Issue-Comma-300k.csv')\n",
    "print(len(data))\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "打印每个特征集中不同值出现的频率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Age                       109\n",
      "Gender                    2\n",
      "AppointmentRegistration   295425\n",
      "ApointmentData            534\n",
      "DayOfTheWeek              7\n",
      "Status                    2\n",
      "Diabetes                  2\n",
      "Alcoolism                 2\n",
      "HiperTension              2\n",
      "Handcap                   5\n",
      "Smokes                    2\n",
      "Scholarship               2\n",
      "Tuberculosis              2\n",
      "Sms_Reminder              3\n",
      "AwaitingTime              213\n"
     ]
    }
   ],
   "source": [
    "for column in list(data.columns):\n",
    "    # {0:25}意味着第一个索引(即列)中的特征将被打印，并且将为其分配25个字符空间。\n",
    "    # nuinque()是查看该序列(axis=0/1对应着列或行)的不同值的数量。用这个函数可以查看数据有多少个不同值。\n",
    "    print(\"{0:25} {1}\".format(column, data[column].nunique()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "初始化函数绘制数据集中的所有特征"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ec9d9cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def features_plots(discrete_vars):\n",
    "    plt.figure(figsize=(15, 24.5))\n",
    "    for i, cv in enumerate(['Age', 'AwaitingTime']):\n",
    "        plt.subplot(7, 2, i+1)\n",
    "        # 这个参数指定bin(箱子)的个数,也就是总共有几条条状图\n",
    "        plt.hist(data[cv], bins=len(data[cv].unique()))\n",
    "        plt.title(cv)\n",
    "        plt.ylabel('Frequency')\n",
    "    for i, dv in enumerate(discrete_vars):\n",
    "        plt.subplot(7, 2, i+3)\n",
    "        data[dv].value_counts().plot(kind='bar', title=dv)\n",
    "        plt.ylabel('Frequency')\n",
    "discrete_vars = ['Gender', 'DayOfTheWeek', 'Status', 'Diabetes', 'Alcoolism', 'HiperTension', \n",
    "                 'Handcap', 'Smokes', 'Scholarship', 'Tuberculosis', 'Sms_Reminder']\n",
    "features_plots(discrete_vars)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 实施数据整理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据清洗"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7e801a9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[data['Age'] < 0]['Age'].value_counts().sum()\n",
    "data = data[data['Age'] >= 0]\n",
    "del data['Handcap']\n",
    "data['AwaitingTime'] = data['AwaitingTime'].apply(lambda x: abs(x))\n",
    "dow_mapping = {'Monday': 0, 'Tuesday': 1, 'Wednesday': 2, 'Thursday': 3, 'Friday': 4, 'Saturday': 5, 'Sunday': 6}\n",
    "data['DayOfTheWeek'] = data['DayOfTheWeek'].map(dow_mapping)\n",
    "for field in ['Gender', 'Status']:\n",
    "    # pd.Categorical( list ).codes 这样就可以直接得到原始数据的对应的序号列表，通过这样的处理可以将类别信息转化成数值信息 \n",
    "    data[field] = pd.Categorical(list(data[field])).codes\n",
    "discrete_vars = ['Gender', 'DayOfTheWeek', 'Status', 'Diabetes', 'Alcoolism', 'HiperTension', \n",
    "                 'Smokes', 'Scholarship', 'Tuberculosis', 'Sms_Reminder']\n",
    "features_plots(discrete_vars)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 实施探索性数据分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 120)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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osONApuqHWf9oGA5VWV6mvrV7xKartA3atqp8KGNh5dyO3kJGm2rt2dEpRRAe4FLeqmru7B9RSIpLCZzb+7iyNaSxomE4zKSPUK2VwiFZmHHZqgB+FGb9o2E4VAEIXz5WhZ2FLrxxsk6MW6jhXmgbvN6Xj/mnPbcTDsRsrFTnsr5a6RMvs+lwRUgS5XgLOhkBIhLHeIUdrj0cXJ8dhFvikNEWDksqmfUTDXIYqsRhxsmr6ghV4rAi4dipz6wfKuky1LXH62jr7I9IHOMEuJQlDu4AON72wMOB7BI3HvhzDrJL3H7XzbhoFXiZjytbxViFqpSk0oesDtV8mO1xU47USp/M2j7q9OD5QxU46jxfHw2rrgpmaBbk0Mp6i4uJwsr0ZGUZs7GnbaikDDuQjadKIqGSBT0P9T3jdeTWekPScYQj6GQEYcZIvjoX+riYzXF3FzZq8x/dqe0ubPS7PlKJg5YZLya/oUocZm3vLmjU5j26Q9td0BhWicsKDbLr9JqdcaMc91N7SrWMn++wHaMtVGnH7Dkr/RgL3VYE9oCIH8fFibF4mcLhkGVF2Txa9PAtHLev15aSN1Q6OKw4AMquh8Nx0O3r1e7YeExz+3pt0TxaCLdBw1gg8qG6xLeqLmaMh2x5dnNFjFSJaVepzrdwsnYUS7e4QjVHthNyxM62XDi2fbZ8XIOcGi+2fFxji+bRQrgNGsYCEWOaMGAkX50LfVzMEseFRKgc2WhJHGZKbKp0DbcUJXtOlRXP7LlQpbNQFdehItQxDEf/xgIRiSOyVRWOMYxgnONChqqwo6uwo8Owo6tQ1RWqviPU9sz6RO+PFm0RhAeRD0cEfgiHGetIy4abo7OT9zockHHOVKqxwvWbmeOG2+TXTDIKhwRgh+Zwmg3buR+BNYz0wxHRcVxkCEd+7pGWDfceMjVHDdUc2Q5kTm8vH6uSOsKp9BZmznJmJqYqXQ0FrUM2Bo+/V4SdhS48/l6RLf2Tqj2Vs6PsuVBNaMd6bUUQIkby1bnQx6LlKy4JzsMOl2Vn31vFIYa6P28nzIadPtW3dms3Pn1Qq2/tNqXNjFt2+3pNOWHaP27FVNXcKe2TFX1H4PhYKWvXciucEodZG+E2abYyf7KyEYQOXMoSR21rzyXBedjhsihXaId7M3vOLPQEcJ7D/fFf801psNOnJ3eXwunpxpO7S01Da6jq5Rz3Q9vyTDlv2r+sHcXIqfHikb8XSCULlTQko1NVVkazlXk0a2/qpDhsuHs1pk6KC4sEMNKwNXbaUFlpXYzOvp9IjOSrc6EPqyFHxjOXYsUqJ9T9abN+qzhgs/15VaA9zp3Xt3abSjKy6ypOlvouyPqnCiNiJjmoxpW2V9XcqV397+9rjnqvtB/lrnZtZeYerdzVbtonWi8dQ9l16puikhxkwQ/pc6p1YTb/ZmvBjl7HjIZAOsZCnzWefw/GChihxBGdmZl5ob9dIeMXT/4h87p/uRM1rT1Y93ourpwzBfNnTAoqd7C0edj7FxKUtgpPF77/eh6WzZ6MKk831m3NxbJZSWhs70PmdgdWpifjssnxWH/gDFaknQ9nMTA4hIOlzUibmoC4mCjMnzEJ0VEM0VFMnHf1DQY9t+GgE1uP1yI2OgrXLp4hyh4p94j2+Hj1DpzDjgIXVs2diheOOLHtRB2io4C1l6eItk9Ut+Glo1VYmZ6MosYOrJo7FUfP6HVdOWcK6ry9oq/13l7RBu/34NA5/GZ7CZbNnoyFl00WY/SB04OXj1ZjdUYy6trO18HnvbatB1uP1yKKMfh6+vHbnSVYfFkidhe5sfFQBTQNOF3nxXunXZgQG4U1GdMwf8YkkTs7ijFcs3C6aO9nbxXgcLkHje19OHqmBafq21HS1ImdhS6sTE/2W28/+3sBXB39OHqmBbOnxCNrRzGWzZyMmrYefP/1PPQPnsNvthdjceokHCj14N38RkyIjcaJ6la8cbIOgIb38htx5EwL6r29OFjuwc5CFxq8PVg6ewoyUhKx8eAZfbwZkFvrEzT3DZ5D1vZiXJmWhA3ZZ7Db4caJmja8crQay2ZPxtxpiWJuskvdYm3x689lO7GrqAn13l4kxEWfX4fNXdK1lzY1AQdLm1Hd0o3f7CgOGosdBS7pePL1WdHchYe25QW9h8/sLzfGAngnrx67ippQ19qNhAkxWPd6LpbOnIzq1h6kTU0Q0slI3uXx/HswVsjKynJlZmZuDvX5T3Twl7kpCSIpzHBJaMZbIiAKSlt2iRsaNEADwACm/+NXZv2BM3juoBMA8MgtSwCQWE/3rMFNy1Kl7fCtGvocz2cdmNdaNl70+WUzk8CM/2nb/LncGi+eN7aCrpiTJO0HAGm/Rf8pyHVZHWvmTsW86YlYd/0C/OzNfGgA9jnc+PKK2SI3NmDsy2oQ9Kr6/8RtV4j/D5d7sMfRhLv/aS4euiEuiPatHyegqrUHl6ckoLipAxqA4qYOrJiTDA0a6tp6MASguLEDD31hkWjv2QPlom+3LE/FHkcTblmeiusXXwYA+OLSGYLOZbOTEAVg2ewk3LAkVdRx9IxHjEva1AQAwPSECeIanRs6hvz601+7ClFRDE/cdgUS42POz0epWzpn/Lnn7lolncer56dIx1P1nJhe7fz/Ny9PxW6HGzcvTxVtDw4NBa2xcCU4iyBEjERcudDHxWaOa0fJa8XpjUK1vWQVqu0i2dYJVUDbMSVVxaqyYx5qtv1GabOyBWi2VaPaquJ0lLvapSFCVNtWoTo18ufqW7tNtx/NtvjMtk/txhQzG2eztsOtjI/gEt+q2rx5c+YDDzxwockIG+jWEj2niIuJwjULp+OYs0WI24tSJ0vLUhxztuCPB85gTcbUkMTz5w9XiG0W1bYW36qYEBuNR25ZgriYKGU/uOQUxZioj26z0e0EVf9oHXxrZGJcNG5dMQsT46L92uZ0xhqhUSi9gVsrFLJtO9runz6qQWVLD0pcnbjnsxm4ZuF0xMVEiW3AElcncmq8mBAb7dcGHc9TdT6xZZhT48VzB52IjY7CPZ/NGHYt0Ot8XWw+Umm6/cjHk27V8XbpfKjmgW4XmW0Tq8aQgtMeuF542yvTk3HTstRh13cE9jDSraoLLjWM5AinxDHeFGZmHLcdJbim2QsHYqZIVdVrR6oxU4KGqrg1678VRz7ZWFCul9JGTYVl/aOmyar+U+mD11fuarcVToSXcft6TSUO3l65q12qlJaNm8pQwo40FG5nQDtlx9v7faGB8WqOyxh7hTHWzBgrItemMcbeZ4ydMf6falxnjLH1jDEnY6yAMbZ6tOhSYbw5FpmZa9oN4GfmvKVqm4NmvVPVqyojAy0ra8+K6aodE1NZTggrWQ1lJqiU9pKmTlS39qCkqVPav5KmTimNtA4auJCbHn9/a55pXnMKXmbLxzXScaXz9NC2POTUePH9rXmirJX5DRwTVWZBSs9w5ttmsGN6G3EcHGOM5Ksz3AHgOgCrARSRa/8J4FHj/FEAvzfOvwxgNwAG4GoAx620EU4HwNHiSELlmuxIFKHqRszqoHvgVmgLta8ybjccYT1kbVQ1d5qatsrotGLyG6ppqswcVUWnKqy6mW5EVgc1m7YiOdiBHYk5HIhIHPaA8RyrCsDlAR+OMgCzjPNZAMqM8xcA3CkrN9wxYeZC7X3H2Ae+s4P3HdYD9Nkpa7cOfv2pPaWWA9ipAtWFg04Ks4B4qvZkz9Gy9JyXvfHpg1rGz3doD72eaykQn2zcVG2ozs0gK6uq646Nx7SMn+/Q7th4zNIYWb0/1hhv9Fxq+KR9OHwB973G/zsAfJ5cPwDg02b1fxJCjphxOlasWexwr2acI92rN+O4VY5noXKnqj7JJA4rUo0dR0WuO8ivaZVaM5m1p5I47IyRarxlz6l0FSqdih2JwwxmUqtdBz/ZfVU/ZBipRWC4cDFJLSP9cIwXv32ZuUSgNb9ekLEHGGM5jLGc9ra2USZr5KD7tLI806q9dbonS8t09Q3i6b1lqPZ04WvPf4jm9j7sOt2A+7fkYNfpBuW+8MDgEPLrfDhL2uZWNRsOOqX70MerWrG7yIXjVa3Ckmj9gTN+bXi7BvDw1jx4uwYEzdklbtFPen+fw4UHtuRgn8Pl1/Yxpwe7Cl04UOLC03vL0NU3iH1FLnxvSw72FbkE7QODQ37XeV7vs4ND4rnuvkG8c6oB3X2D2HDoDHYWurDh0Bk8sbMETk83snaUIL/Oh4KGdhyraMHuIheOVbT4jSEde9724fLz+cv3FDbguYNO7ClswKYjTuwsdGHTEf8x5M/5ugcEbRsP6mO48eAZPJtdjucOOvFsdjn2O3Trrv0OF7JL3Xjwz7l47O0CnfaDZ/zm8WR1Gyo83ThZ7b/2ZcEYad76QNr2F7vR1Tco5omuTZU+YOMhnf5n9peJPqnWLAVfA9vzG/Dgn3ORXerGD/9yCk5PN374l1PK/Ov8+i/eKRTBGi8kInqS8xhrB0A3Y2yWpmkuxtgsAM3G9XoA6aRcGoBGWQWapm0GsBkA4mct0o6Ue5ROb+MNMkc96oQmc6YLdKziH5G3cuvg6ujHQ9vycNnkOADAvhI3vromXdo2f66qpRt7HU3YdM8aLJ+dJBzkpE5RxAmRGZ92FvCJ5/GpAOAP31gZ5LD1zqkGcT9j2kThDLd89hTRdrGrHRqAN07WI7fWBwAY0oaEM12pu0s4H9Lr8XG6Z/Ety2eKNqpausX54Dn9h6iurRdfumJWkCPfH94vx5AGOBo7UNPaJcbwmW+uDnK4/NLymcKB7o2T9YBB76czpuoDockdNT+ubEVOja5wpo58hfXt4rl9JW7R9r9cNQcaNLR29wMA6r09futir8MNDcBehxtfXZ0m5oG3ffX8FKxMT7bkyMfX06Z71ujry8TJjjt+1rX2Yq9BM3cmpTQEPsfXiKu9V4zhXWvTkVfrw11r05UOrDJHxQuJiOMgwUjEFbMDwVtVT8FfOf6fxvmt8FeOn7BSP9+qClW0Hi1Y2cqRbR1ZEYV5n8pd7ULUt5KH2izKq6xtWq9qG0a23UO3WVRxiMyc5ehWhsp0VWZWKjNtpVF1rZjV0us8VlV+TWvQtarmTs1R79WW/WqX5qj3SvtX1dwZRO9w55zO+tbuoHhZVc2dSsdB2dirnDb5cycrPcPG2VJt29E2VO8YvW5mYqxa9zJDgfGybfVJB0a4VTVqEgdj7A0ANwCYzhirB/BrAL8D8DfG2HcB1AL430bxXdAtq5wAegD8HyttJMXHIi4mCvuL3VKORRZmYyyg4qD4Fg8AQTPl+m5almoqPXET0v3Fbj8zUL79ctOUeCkd+XU+5NR48dS+cux1NAmnqkB6KM08MmzWjmJsuHu1GMPAshvuXu13nUsA86Yn4pFblvjd3+towu2r5gCAcMQDgL2OJgAQZqlVLd0iIu7tq+aI53g/eJmcGi8ee6cI+XU+US8fi/w6H5yebrxxsg6P3LIENy1L9aOdt8vr5WWp1OLu6IOrox/rXs+Dq6Mf86YnAgBcHf34e14D3sqtQ/fAEL77pxyszpgmnuPj9fTesiB6s3YUY970RHF9ZXry+fkz5mR/sVtc+93uErg6+nH/lhw8+qWl4jqV5m5fNUc4y3EJh49n1o5icZ+vhZ2FLhwqc6N7YAj3vnICv/3qlX7zQceIzjWnjY6b7B2j7x4AOD3deOaAU7r2AEjXPTfJLmvqgNPTLa7TMY7gAmEkX50LfXAHwHBIHKGalZrVZVaGKl3t1GHFlFTG7atyZcjqUEkyKq7PTp/MOFmVlCEzK3XUe6X3ZRIADcmh4t6p9MHPHfVeKW005Igs/AiVOKxIX7IxNAtrQuugkqhK+c+vHyl1aYt/uVPLr2m1ZIAgo82K46CZ86XZ+6uaswhCByIhRx4wDc9hxYGIhlawEkZhOKjokZU55myRhmMwi+BJwzjQSLO0LI1+qwH444EziI+NFpwl7aesjo8qW/HS0SqsnTdNWS8No8H7NDEuWjruqpAq/PyjylYRFmX5nCkidAiNVnv76jmibk5fSZMe1qOxvQ+T42NEP1ztfaI+Hl6koL4dh8s9iI2Owrv5jaLeKQmxouz+kmbscbiREBeDmOgovH68FlMS4vABtnyoAAAgAElEQVTXk3VYkzHVr9723kG8faoB1y6agd/vKRPhR5o6+vDcQSeKGjtEyJEbl6WKPtEQMHTs+ZxERzExT4fLW3DkTAumTIzD4JAmytIx4uuhpWsAx6vakBAX49ceHW/edk1bL+q8vejsO4d/WTlbOjd0ncloo2NB1wh99/j5xLhoUS8N29I/OCRd6/y5pImxoh+qNRmBPURCjoQJ4ZQ4Qm3XznUruhE7wfPM9C+qeu2MlZkEqLpvJvlQ3YiKWzbjXs30NirdiJmeRCXhmXH1tD0VnbKxsNIeP69q7pSaxKqek+mUzBwnVevJjsRhJeBjBPaAi8Qc94LDShiF0W7XynWut/i4stWUXhpGQhZyQ9VnWRuqeu2YKJrlvVaFpuD6ioKGdr/rfA/8mQNOcV+V95vrhkqaOgXttF76HO0fvz4pPkaa9Y+e0/AjspAjqkx3srzltD0akkQ115wOrs8JbE/W9t/zGoReR7bGAunkOq/vb80TfVbNmaztTYcrpOFiVH3i6+Xx94osZwiMYIwwkq/OhT5CkTjGG8dilx47ViVmUpQVScWsLjP6zfQoFKr9e1UbstAZZv1XOdap6OR00Mx6VLJQSQMy2lR6DTt6BBWdZtKArK+qkDKqNcavO+q9w+aAV429SvelgmzsIwgPENFxqMOq08x4XN8wFtm/ZO2qoKJHVYdMv6Aqe25IQ01rDzJSEjEwOIQdBS4sSZ2M5w9XYEVasl9odppZ8MUP9NDc54Y0/PVkHa6ZnyKC/F05R89Kx+sFIM5lfd1d2IiHtuZhceokLJ6ZhP7BIcyfMQnnhjRBc+/AOaw/cAYNvm78bk8Z5qck4KWjVdhV1ITa1h7ctmqOVGf0h/1l2FHYhCgGfPtz8xAdxfzGgtK263QDHnrjFKpbu7HH4Q4KO7670IWHtuVhcepk1Pt6gjLrfVTZgpeOVmNBSgJe+7Aax6u9aPL1oqKlC9sLXIiKAq5ZMF2097M383HE2Yqcmja8fLQKy2YlYVdRE7adqDXCmLdiw6EKABrODeF8NkQj+15Na48o2zswiPXZTlwxO0lkFlw2ezJ2FTYJPcHp+na8m9+IY85WnKhuQ21rD5ImxgaFUo+OYnjf0YR1W3ULrHuvuRxxMVF+63B3UZNYY5++fJrfeFZ4uvCP043IrfWhsa0HX1oxW/SZzikdex4u/0BJE36zvRhLZ03G4plJpu/Ox4bO68o5SSKjZETSCA9GquO4qGdBto0yFk48drZvVPSo6lh3/QL84AsL/bKsqcrKvM8f2nY+6iptm24j8Tbq2nqEx67MgUwVuZeiuLFDOP2pnuNtrz+gb2FtO1mHW5bPBANwy/KZyrGra+v1+z+wz/ScO9kBLGj8AN0JkDsD0mx5/EeQe0nvK9Gz0zHo2epEfAPNv+20FP25GYkThBMedbikWRT91oDhdHnL8pmCTppZkNJG1wI/f/C6eca4parXOnHs5KBlab2yeWrt0p0T01ISlOMtWxd0LahAn+M0FTd1DLvFGcEFwEjElQt9pC1aPqIYT6MFK+3a2baxsx2kus7rU2XnMzPHteIgZqcfZqakqjZkZrpWtoPMzDhVZe2Y1cropNssdpworWxVybaUrMTfskObmaOmasvNjim4as3KthetrPsIzIFLeavqsSf/kDll1Zf8zPnMTEzHAmYZzwB59jpVHWbmwXYyxCXGxwgzSbo98alZSUEmtNT0kWbLo1s8ZqbHquxudMvthk9dhmsWTsepWh9eP16Lq+en+G2tUDo3HqrAzkIX6r29mJYYh5eOViE+NhqZ2x1B2yzUdNXd2T+sGSelU2b+m1PjFc/TNriZ85qMqX40c5PXtfOmiex1six80VEMj7x5WvSJm8XS7HyqNuhzt66YBcB/K1P1XnD6Gw1T2ivnTPGbX/ocfYe46W1L1wAOl3swITbab4xpWTpGbxuOiu6Ofvz77VcGrT06H7IMgLExUcIU2o7JegRqXNLmuDKJgyouzbhsOxxLuMuaSRxm5poqJbcVTs6MBpn5pFkeCJWjlxUFvJmy1g53bsY5W1kLNMSHLKquqg2ZpGLFeU3WJxpyRCXhhOoAKOuT7L0JHE9Z2BorCn87EodsbVkxIR8tXKxSDS5liWPbn17J/MFD6/y4lO+8dhJFjR0oqG/HzCnxyNzuQL2vF1uP1wZxU3Yc/exwN1YcAM2cE82csCgdVpwXZfSrJCNZrmeaI5tKSFRy4nmr6729gpNV0UMd4GSOZfQ5ymXLcopTJ0oqOcnG0MpaePlYNfLqfPB0DeClo5Vwerqx/XQjatp6g5wQaRv3vXoCOTVenKrzibXHI+vWe3txuNwjJBkuIQD+edL52Lva+wRXT3OSc+693tuLOz6dJp7j8/BRRSucnm64O/pR1dotzT/+2NuFOF7VhsNlHpQ3d6GxvQ8fOFtwvKoN7o5+PydKKkVsOlKJw+UeeLoGhORAJRwqfdB54P3bfKRSKrWqwOdsTcZUsQ6t5KIPJy5WqSYicQTsScvCM1Au0yy4nJW9eopQORIZV6+qy8xBzIp0YmZia0abLGBgYHuy8baic5DtZVvZq5f1Q7XPbhZojz5HJQ5+vutUjQjPoWpDtraOlLqkQRBVz8lMXun9/JpWKR183e86VSPao/2g7Z2s9GgLHtuhvX2iQrwrtCy/f7LS43cuC/hoJRwKfy7b0WBa1myuVeMWqiRu9T21IsF/koBLWeLgOo4XjlQKTq+osQMFDR1o6z4rOKe186bhns9mBO1fUw4wIS7acoiPcOyz8ucAiP15FXcu2xvn1ieBnJdKOqF7zlxiMNON0DZe/KBKcKR0rChnyaWojypbpXvdXCKJYswv3Aff13/+cIUoS7lsMymR9oNKQJQ7/3tePYoaO1Di6sQz31yllEhWpif7SRypSfH4W049jjpb0TUwhMNlHvQMnJO28fW16fj62nQkxseIdbavWA8keLyqDQ/esEBICFQ/8becOrF+PV392Hq8Fser2oTkUNvWI6S9p/aWwdc7GETHHw+cQWN7P/YWN6N/UMPxqjYcOdOC8uYuFDV24ER1m2hv40Enes4O4f3SFvSeHUKJqxOn69tFn5/eV4az54D3Tjfi7VMN4rypox95dT4cLvMgr86Hem8v/vRRNRrb+/FRRSsun54oxpDqop7LPgNXRz+2FzSh9+wQPqpoha/3rHQM6dqSSRRUwqHv/YzJE0KSxM2gekc+6ZLIJS1xzJi31I+jCeSsZJyzFYsYmXQRqsSh4nrM9ufN2rCjO7Cyxy9rT2XZE6ojn1lIcCu6CrMwKmZt04CIVvQovL78mlbBLaukVlnbKmc5WSBFqpdQWS6pJA7+DhwpdZmGfOfX9xXUSd+bI6Uu7fKf79COlLr82uNlaJhz2oZqDDlt+wrqRFkrEofZezgWEocKEYnjEyxx/Op3z2R+4at3IbvMg+wyDybFx0oDu1HOmQaGk+2XB3KtnDtXSRxm+gwV18O5Kbo/r7ICk7WhapdyZHQfmUsDzxu2+MMFl+M0U52DLKCeymqM3qdB8PYWuwXnTOeJt7cmY6qQDK1YY8l0KrK99Ylx0UiMj8HX16bj+1vzpFyqSo/C+zItcQI+rGjFtYtm+PWDMSa1POP9m5EUj3uvuRxJE2P91oIskOLV81PEeE2Oj8WOAhfWzpvm16ff7ihBSVMnOvvO+elacmq8+FtOPWYlJ+DImRZcs3A6ntpXjpq2XpS5u3Df5y4XfTpd34738hsxqDHk1fmC3pv/3FuO8uYuDJwDvnPtfPzwfyzCzCkTxbgkJ8aJspnbi+FwdcLXO+gXKJGOYXJiHO6/dj7+e79TlKW023kP6brgc5oYH2P6jljRO9pBuOsba0QkjgCJQ8al2LU6kukDzCybVLCzPx8OLsaMTiv9MNOjhPqcqm07/TaTOFRjwWFFr2VmKaaSMsx0UWZlaRnqN6Lqv2wMrSRy4ufUcku1/s3myc54UgszK++hmWQbQejApSxxPP67ZzKnrvkyXjlWLfZyG9t7RCiHtZen4GBpMzJSErEodXKQVYZKVyELFW3Hr4JCxfXw0AqUNtn9tKkJfqEcZBwOLUtDmr9f3CTCUyy8bDIAtV+FjGYeKiJw3GjIEfosL3PF7CRERTG/cBNU6gm04+f1zZoyUfe6npqA1s5+3PfqCdyweAYS48/nGztc1ow/HjiDlenJWDZnSlC4bgrKsfLQGalJ8cip8eKLS/VAgrLnntlfFhQO5Kq0KaJPzx+uwD9ONyImOgpDmuYnffGQKtmlbnz/9Txo2hCydhRL/Yp4WeB8eA4ugZ6u9yG31ocGXw+uX3yZCAczMS4aCXHRWJQ62U+S5mO4vcCFv5ysQxRjuOWKmYIjl1kjbTrkxHunXYiNZhg4p/nd523wfiybPRl1bb1Y93ou5qVMxLPZFbhmfgpyatrw0tEqrJ47FXXeXul7wechNpohZdIEfGZ+il+4G9V7KPMtUsFOmJ8IRi5xfKI/HJs3b8587fe/wM3LUnGqzoeNd63GwOAQdhc14b6rM9Dg6wtanGlTE3DlnCm4bvEMvwVGr2ekJAaVMbtvF2bKNTuKPVVdTncXdha6cOuVs7AwdXJIdHLQ/tMfLNoeLzMEDQ9tzRv2wyqrDzhvKMAjsZ6q8+Hra8/nUXd6urCrsAm3rpglPoYqrEhLRhRjWHf9AvFDlVvrFeax1CSWwts1INbQ/1iaGtSnaYlx2ONown2fvVzcDxyXoSENOwtduPezGfjqqrSgdUPL0vm9bvEM/cd7RgL2lTTj4esXYF9Js3R7kZel9a3OmIpTtV7c99nLsXjm+fGRrXtvzwD2FDXh3msyTPtx65WzcMOnLtOdBU83YldRE+q9vVgyc7KYjxuWXCZ9L/g8DA1peP5wJaIYw9fXppu+h3berU+6snqscUlvVSXPXTJsnm0z5bid50ZzS0kGsy0e1RZIqFtjsvZUW0BmbVjZYjAbb7r9aLaNaGWMeR00B4Ud02UrxgFmzqehzq+d7SBVe2bjQ6HaquKwQo/sup25s4tPurJ6rIFLeavq1//5x0zntKv9OFLZ1hDloKiZIOU4ZRw+IDeVHWmGQMA8LImZAyClTZZBTmXOqJJk6DlX8lKls1lYCCuOhRSyrRO6rfXS0Sph8EC5bJlZsQp0q4obCrx0tEoopal5sFkbKkc32j8z51NZtkTV/KqcL1WOc7yO2JgoYdBgtjZV86QysOCgoWhUTniydUGdPsMtFXzSldVjjUta4oiftVBz1HtNv64q0z+KsZY4RqpgD5U2OxKHXW5ZFjzPTv/N6lWF7TDrB1VGU6WzSuKQmcdSE1QVx02d4WQSjp21Z0WCM1sXoawrK0ppK+vNzpqNYOyBS1ni+O3Tz2Y2zvy8n8QhA+WsqFkphUxSoRxwuE377NQRTtpUZem5zJFPpcCk0g6X5hrb+/DDGxcN2zcZnSrFKOWAed4JGvpEJUXROrj0QXOA8+CKgYYCPCSHu6Mf2WXN2FnoQlFjB445W7AmY6oIvRHoOPrahzXC+ZSbpv7y3aKgugKlXbP5U4WnMZPa7KwrO0ppM4lTVYZKURGdxIXFJS1xTE5bPOxedShcGMVYcEV2JIBwmCXa4RCpQ54Vms2kATM67EgOdk1ezUxCzSQOKkXJJItA3Qi/Ts1jVYEEKWQBAVWQjYWVQJF2pBozhMO82wwR6ST8wKUscWQ9tT7z5jvuUYaElu0X28FYcEV2dA6qEOyhtqeSImRBB1XcJD2ne9+ysA9moVqscMAyk146v1S6pOPGpYsTVW1BwRUDx5s653HHuERiuvvgn3NR2dKDElcn7vzMXKnTG6dt7bxp+OGNizAxLhqbj1RK9St0TnkokiPlHuxxuIedc5lupLatxzSIo0xHZ0UvZZUGlfShCpNjhoh0En5c0hLHouUrgjjdULkwCjNJJVQOyIzTs8JxhypF2RkLmY7DCkcq4+pV+/pmfbJigcM5eEe91zS0t0zHYSXooCyUuJljHaWfhg6xkqvcrE9mkhgNq272XtDxlklZgWMvk4ZUUpSZ9GWlT7L3xoqeaKS4FCQcXMoSx59eeTnz++se9LM6oRYv3ClqZ0EjNhyqQBRjaO89K3JLN/jkDksyTpY6GKn8GMxAOae0qQk4WNoMp7sTv9mpO4jNmzEpKE+zynEOOG9VxesazvlJFkaE57deNivJr23uhBYdDWw6XIkr05Kw/bQLGw9VQNOAzy+Sc8DZpW5kbS9GTk0bPnC2oLqlG87mTrxxsg7QNHxmfoqgk+af5v42Q0ND+PV2B5bNSsLbefX4W249Bs6ew6cvnyYc4AYGh8T5g3/OgcPViZ2FLhQ2dKDe24tz5wbxxK5SzE+ZiJUZ08S4cae+g6VulDR1obKlC9Ukr3debRu2nahDNANOVHuxo9AFDcALRyqQV+fDzoJGHCpvwblzQ/ifV86SOtZVeLr88oFvO1GLfY4mnGnuRm6tF/l17ULfUe7uwI7CJmiGkyGvY19xE/YWN6OlewD7HG5cNXeKX25xKkU4m7vwmx3FWDorCU0dfcjc7kBhQzscrk64fH04WOrGEWcr6tq6kTQxTrwX0xMnYOOhCpw7N4Qf/zUfy2ZPxhM7S+BwdSK/zocTla3YVdSEutZuXL/kvPPhY2+dxq6iJhwu82BvsS4NvXS0KsiSLDDIIdcD1ft6sbPQhdjoKByvahPrqffsoDSPOnfapE6ysuRVge/WSKWSS0HCGanEEWNeZPyD549ed/0CxMVEBeXGfuYbV4kcyhsOOkVu6Z9+cbE0J7MsVzOvS+ToDiFvuSxv9wPXzRP5n2kbNy1LHbaOq+enYGV6sl9ddp/LLnVL2+Zl+wYGRX5rmi9bCSMf9vRJsQCA9GkTz+e1DmiD5p/+yReX6O2dHRT0nKr3AdD/57muOfj5nWvTkFvrw09uWoST1T48cdsVuH/LSQDAGyfr8bW1GeIZnuMbTCeotWsAy1fRPmmIArBstv6RBIC6th6kTIoDoOfMQPdZvzzdgXOaXeIOGq+blqZi64k63LV2Lm5cqs/NE7ddgUffLjDa6MXP/uf5OvoGBsEApCUn+OUWB4LX9x/eLw9ay77uAZyq9eGW5akoamgHoDvVUTp/+td87Cx0wdXeK9q4a2068mp9uGttOmKiGXY79NzqdOxvXp6K3Q43vndtBup9A1h3/QLce3UGHtqWh413rUZyYpxoY83cqaKvifEx2HTPGqyZOxXzpidi3fULcKis+fzYB+RR532VresnbrvC73/ZPIwU4azrosVIxJULfaxZs0bTNHsKWCumjTKEQ3w1U9yHqqC04pxmRxlttnVkts1At4OsxHWS9UO1BSLb4qHbb6oIvLwOR71XGhFW1QY/L3e1myrV7cyv2XaXlW1S2TzQ+FNmDo7UxFhVr2o8OeyYCqu2Sa1s/UUQXuBS3qravHlz5gMPPGDJJJDDimmjmUNeqDAznwxVQSmLGBuoVDVTRpuZT6rakOWndnf2i+x11HxWlSFO1g8aMZaWlTnD0fzcX1x+Pj4T3dbguVnaes6KiLA054cqPzk/nxwfK/JeqxTNVOErM5umDok0qq6sDpVZrcpogF/Pr/Mhp8YblKmQPsdN0l86WiV19KPrkEYCpuPF15Ysgm0gnTLFPW2P5sgxy8cRQXjwiVSOA/gpAAeAIgBvAIgHMA/AcQBnAPwVQJxZPVw5Hm5pYLhrw10PpQ0r92XcoCoHhZnpqpW2ZWVVymMzYwSz8BUUViQnWXtU6ariZGWKXTtRbu32SSY5qDhrWV/tKI9pe1YU0LLxVrUhMyCgpsmqPOpmEodq3sdC8o/gEyhxMMbmAHgBwFWapq3Pysr6BoAJAB4C8KqmaQ9mZWXdBGB2ZmZmznB1/b/f/nfm577yzbBwJmYOaWampKG2YeU+bU8WDkRlrioLuWGmPFdxejRcBOVCKafOn6MReulzZvNEy6pyk8gMBWJjoqTSAJUceBiRhLgYPHLLkiDphfaDti3Lm0JDkqjGVWbEQMdNxeHzvtK5k0l1KhPpxPiYoDzkqvmX5X0PbINGiubnsTFR0j6pQqrwc7ouKFT5OMzW6cWquB4LfOIkDgBzANQBmAZdOb8DwC0AWgDEGGU+C2CvWV1c4qAw45ytcCx29plDhRltZhynKgAhhZ2gcnY4PTPuXOXoFarUYzYuVtozk9TMOG4qqZjpajTtfCBAasZrR4qwkhMj1DVkp6yZ5BBq4MJQ+xSROMIDjFDiuFBbVT8G0AXAA2ArgOkAnOR+OoAixbMPAMgBkDN37tygAXnf0aQteGyn9r6jye9cdl8FK2VGCjPantpTqmX8fIf21J7SsLYRbsjG+6k9pdJ2Q6UnnONid/4fej1Xy/j5Du2Ojcekz6noMXtutNap6jmz+uzMjRntVqCqI9SxiMAePnEfDgBTAWQDmAEgFsC7AL4l+XAUmtWVtmj5sNybGUdKIeNqrEgc4dR32OHqrbQXDm7fTlk7EoCd9sxCdaj25GVQSQgq/Qpvu6q501QHIKuPSip2xkJljWVm8aQKVWI23lYkB962yjE01LVpRzKKSBzhwUg/HOaptcKPmwBUaZrm0TTtLIC3AVwDIJkxxv1K0gA0mlXU3NmPTYcrkF3ixgN/zkF2iRuHytzYeNCJQ2VuUe7oGd0e/Ei5B3ExUbhpWSriYqLQ1TeIp/eWoatvUNiMHyn3iOcOlTXjwT/nIrvU7dcuLSt7jmJgcAj7i90YGBzyO5eB0jYpXt+LnxQfg2cPlOO5g048e6BctJdd6pbWq2qDP7eroBEPb82Dt2vA7z4dQ1kbqrKBfc2v86GnfxD5dT4MDA5hX5EL39uSg31FLr/+/eNUPe7fkoN/nKrHPkcTHvhzDnYVNErb+/Ff8+H0dOPHf81HXEwUVqYnIy4mSvT12Wx9fDYeOoPH3yvCzkIXHn+vSDoW+x26jmi/wwVv14AYi0ffKsDOQhcefasA+4vd2HDQif3Fbrx0tBJOTzf+sKcM/+/NfNS0dPnNR26tF3sdTcit9fqtp8T4GNy+ag5OVnux8ZATh8qa8XZuDe7fkoO3c2uk8w8A/zjVgPu35GDH6QZxjVuNbTjoFH4Vmw5XiGRXWTuK8ct3dfp/9JdT2HS4Ah9Xtirb4HPyj1N1gt4XP9Ad9l78oEK5njYe0nUmmduLRBtHnR48f6gCR53+74Js7FVr8+gZDzYecuLoGf/3k4NeM3vfVDB79yKwB9MPB2MsgTH2K8bYi8bfixhjXxlBm7UArjbqZQBuBFAM4CCArxll7gPwnllFl02eoDsMMQjHMepYJjLLMUgdeuhLKHPOczR2CMckClrWzFlI9ZGx9QIQJzreHjSY1kvP+XN7HW7xwxrYBh9DWRuqsrQNPp4PbcsT41rc1AENQHFTh18V207Wif8djR0Y0oC9Dre0vY13rcanM6Zi412rpf2Dpg/RsplJeOK2K3DrlbPwxG1XSMd4n/Gx21fi9vvIpKdMBACkp0zEXkcTNAB7HU3Ir9Od6LYXN8HbO4ivv/CRdD6uWzzDbz3xtvc6moST3osf6B+MFz+oUc7TtpO1AIDNH1SJa9T5ct31C4QzK+3rzYZz4Z1r06TrkbbB5+SNk/WC3mWzk4QDpIo27kR589LU820Q5z3ZO0THXrn+yXoyQ6jOeaF+cCJQwEwkgW4a+zMYOgcAEwHkj0TMAZAFoBS6Oe6foVtVzQdwAoATwJsAJpjVI4tVJdtyUCmSzcxYqSMbRaiKZDNFo6peM8crK2aVHKqxkpnbqhS7qudk8ZlUtJnlvFD1Q2ZCq4p4K8siWO5qF9dUsaPoc7xMtqNBW/arXZqj3qvcOpPR6aj3inod9V5Rh2oeeNv5Na3SPqm21GRrxGyerOQYMcv2p9pGks07Xet2thftvHuqsla2qC8lYIRbVVZCjizQNO0bjLE7jQ9NryEpjORj9WsAvw64XAngn+zUU9vagyPlHrxzqkGI7LevmoO9jibcvmoOAF2q4P8HhuTg20EA8PTeMhFaYWV6shDFeb0b7l4tnjML8UHv87a5Mx0tf9Oy1KB2ZfXy7ZDbV80R1z+ubBX15tf5sLPQhXnTE/HILUtEGS4F8LYBoKChHfl1PhQ0tOOdUw3YWaiH15g3PVHUwft9/5YcVLf2iDZo2A9elp6vTE/GXkcTACCnxostH9eIa3w+6LhUt/agpKkTAMRztC5elrZd1dLtN9ebDlegqqVb+tzvdpfA1dGP+7fk4NEvLRVOja6Ofjy1rxzzpifC6enWY2kRmqtaukWZ21fNQXVrD3LrOtE/qKGxvR8bDunbV0/uLsW86YmCtkduWSLW08/fKkBOjRc/+ou+zcbr7R4YwoZDlaK9rB3FfmMPAK6Ofvx2ZylyarxBc/pTQ0ricyabE07D4wFlA+dp3vREMTf0Hdpw92rRHt0Oo9c5+DYSAOwvdvvNWeCcrLt+gViP9L0IXL/DwUp4HVVZs3fVrL4ICMy+LAA+hC5l5Bl/LwBwYiRfq3AdMokjVCW3jEOi4RtUz8muWTFt5LBidmkmcVhxLJNxfSqnPplC2Aqny9ugWe9U3KuMZuq8ZsaR05AhjnqvNLIr5fB5G456r8ilQSUHek7zbcikT3pfVpbOyclKj6CX0i7rB5UGVH1SRbGVSddm0Xjpe2Gm5Fe1oVqzMklMJRnaUbDbkRBUhhCh1ncxAaPtAJiVlVULYDOAhVlZWSsBPA7g4czMzOpR+5pZBI+Oq8qBLAv7QEGdiaijE6/jRFVbUH4JwNxZUOZApsp6pnKQo2VlObBVYSFUzmKyHBs0GyJ1huPhPq5ZOF2EHKF0UodDGf006x3PhBcYWuJwuUec8zIfVbaKumiWvSkJseL6y8eqkVfng6drAFWt3dh6vBbHq9rg9HTD3dEvrsVGR2FfcTMcrk74egdFG9/fmidyaTcGvNEAACAASURBVJyq8wk6P3C2iPP3TjeKMjzia0FDuwjlQe+/lVePxvZ+fFTRCl/v2aCQIjk1XtR6e1HU2IHT9e2C9g8rWsU57R9fhyVNnShq7AjKHFjv6xU5PTQgaE6OOVukeUVo6BfuDEjfC+qER0Gvc4dC6nyqCrlCHTX5WnW194nouNQhUebUGY7QP1ZC+FyqucrHxAEQQAqAWwF8BcD0kXypwnnMmLd02PAUHFb2N2VlrHBCZiaoFGaSg5VzzjnWt3ab7kPLpBa6r00h66sqlIfZc1TioFBxwLLxsZLnQdYnlRTFIZOsAumRSTsnKz1CsvjwjFub9+gO7cMzbi2/plVb/MudWn5Nq1T/ogqqaDZndAzNdHh03askvFAlB9lcq5woVe+WmalwqCa9ZrhUpQkrwFiEHMnKyloE3dM7FkBGVlbW0szMzJKQv1ZhwuO/eybTl3G9CGCn4iysBEGUcR5WspvJAgKquBgaxE8mOdCMdaqAgPe9egI5NV4U1Lfj0S8vRXQUkwb+C6SDt13U2IHD5R4/GgD/UB78uZ8ZJqr13l4/yYFCNkbuzn4cr2pDQlyMXxs0Ax4N8sfHk45PUWOHKEvHgkpJXNq5ZuF0kWWPSkA05AhvIzE+RgRBVNFzZXqyKMNp+uBMCzzdZ1Hi6sTrH9eg9+wQskuaUdjYiTpvL5zN3WjtHggKYUKDKvJsghPjok2l5JeOVklpo5KxLPwInXO6Lqh0IgtbY5YhkK6RiXHRpoE5ZRIzDfdCYSc0jh1cqtKEFYy6xAHgFeie2n8C8KpxvDKSr1W4Di5xhLovarY/Sx2d7FhlqLgwGeesskBS1UG5ZFm9Ztwi3WdW0SaTOFQw06NYkaJkdamkDFkZmvXOTG+lCgJopsOhOgcqZah0Dpzbz69plUpfZpy6Kjy6HWc5VZ9kUqvZ3KjWuhVJ1GxHwIouIoLwAmNgVXW1pmnLQv4yjSLmTkvAVCPRznAWEdTygyLQ+inQiqeqpRt7HU1Si6jh6qbJb6iVCLXienhrHnYWupBX0wZXR7/SIoxaRAFASVOnsEaaMy0hqF5q2SKzINtf7A6y0AqkmVomUWsyGah1Fx0jmbUatTraX+wO6h/tR2Ad1Ooo0Prtrdw6uDr6cd+rJ7D/X28Q9a0/VhVk2bMyPRk5NV4AwIa7V1tqg1sg8XHPr/Ohf1DD+yUerExPDrIOo1ZK617Pg6ujH0/uLvUby8Bx4+Br8pblM/0s02TWSLI1GbimZeuJh15/42Sd6D+1wAtsQ1Y3v656twL7N5y1VOC8R/AJgNmXBcDLAJaN5Os0WgdP5BQqzCQOlf+Hqg4OKxyUme+CmZ6Ehra2YtliRpuZ5GBnDFXWOmaWNFbCo8ukAap/UO3r8+sfnnGLsrQNlb5DlgPcjB5ahiaAUvlVyMaTjoUd3QidMztWeqp5CnWty9qjazaCCwuMgcTxJwAfMcaaAPRD9+/UNE1bMWpfM4vo6DuLgcGhoD1TjoHBIeE1LSsTyC3R85XpyUiMjxHXVHXJuDArHFRsTBTmTU/ElIlxuH3VHCTGxyjpoW2/bHDRQ0Ma9hY3YeNdqzE4pOFHfzmF9d9chZuXzxTPrz9wBps/qMTA4BB+cetSAP6c4NXzU7DpcAXWXb/Aj2YelmHTkQq8cKQSQ9oQHrphkSgLwO88v86Hq+en4OgZDx7alofvfX4eXjpajQ13rwIA7Clqwj9fpeeHfnjrKWy4exX6Boaw4aATC4198Z/+LR9XpSUj30gZ+8Wlqfjp3/Lxh6+vRFGDziFvPlKBn3zx/Lhu/qBS18H4euDtHcTf8+pxotKLU/U+PPjnXNx3TQZ2FbrwxaWXYXdhE3JqvHhwSy46Bobws7cK8OD1CwQ97+bVw+npxm93OLAwNUlw+x9WtMDp6ca3Xz2J5q4BpE2NR3QUQ06NF699VIX5KbovxeXTJqKyVfcnyUiZiBVzkpFX68XpOq+gl/pVZEybqJedNhE/+eISMb8cH1Z4sKvQhS8tT0Vure7ncNnkCaj39iCnxotfvluIb6ydK9Ze39lB/OiNfHzvunl4+Wh1kERCQ21wv6B/XjELMdFRuG7xDDGWc6cl4IFr5+OdUw16+tf4mCDaKFTSNV3L3PfE3dGH/DpfxGfiIoCVD8cr0IMQFgIYV4FeuAOgahGG6twje05VV6ghEPgLx7fDhqORts1/rBfOmIR9xW6AQYTscDR2ID42WpTlbprUXZPSy5WSgP9Lz9v7zufmiVAeqrzf9PyKOUkidIRGQrXIzmlYD/06kDIpVoTQ+MU7heL+kPFwna/Xjw4eimN6QhyvHCvnTsGpeh9Wzp2CvQ63UYebhBRJgMPVhZVpU/zCZaRN1bf90qYm+OW9npeSgFO1PiydlYTmMy2Adj5/+bKZSXjlw2oAeuiU71xzubjOw2i8cbIeubX6x5Dmyz5W4QkK8UG3TG9eepkI1ZJvPJ9f68P0yXHSuXzm/TL95dTk4XVkOeUHh4bENRrWhH7gbl81R7qdy9cqHSsVeL9//ZVlKGhoj+TyvhhgJpIAyB6JSDOaR/LcJUHOeRRmSt5wiuQqJ0MKO05RZlsLVhSmZuE5zLZ1VCFHZIpWunVCTUmt0GZmNktpow53srAeZs5y1BhBNcZmfbJjNpxf0xoU9iRwq87MGVKlgKfgDoXlrnbTLUyzbS3VtpVsnqxsr5phtExwI+a4amAMHAA/k5WVdXdWVlZcVlbW4qysrKXjxRz31//5x8zOy2/ArStmSe/LzEppWTu5ys3MDoHzmd5UzkbU7PCGT12GaxZOx+YjlcIElTrvUZNIMwdAaq6rMsfkecKPlHtwvKoN9d5e1Lb1iPtvG+FH6r29wjmvqLEDOwpcQW1Q012ZKfD9W3JQ1NiBgvp24UAX6AxJzVFlZrP0PjXB/cYLHwmHO25afLyqDUWNHUFmp9QBjl9v6RoQ+dCp6Sc14+VhNk7V+XDnZ+YGOTVSJ0OaG52ax/I5y6nWHQA9XQN++bRpWersKHOGbOkaEG3QsaC4f0sOypu78FFFK14/Xjuscx5fs9QZlN5XZeSjDpz8PZLlFrebnS+cWf3CQc+lgLEwx31VcowLc9yJsxYFKUQpOFdnJVihmZLXTKmsMnOVlaV1WAnlYSfkCIWMMz5Z6TEN7CfjzlX9oM/JnN5UkoVMGU0lHNXcHCl1aZf/fId2pNQl6ih3tUulIVkYkQ/PuKU0qM55//YV1EmDHFIJSDZnVHGvkr5kY6gKHSIL3Nh/9pyg42Slx1QBLzMxtmI2LZNqzHKl0PdMJZWr6JTBzPjD7J2OSB86MNoSR2Zm5nuyI+QvVRjxm6fXZ9alfg47C12CQ/z62nRxn3P4nq4BHHO2DBs6RMapAOelCFWuZ1k4Ber0RkE5dQ5Vnm0qZVAumrdNJQ7KIdP+07pf/KAKx6vakFfrg9PTHRSGYmdhkwiBccen03Driln4t/ccQRwmHdcoxvDKsWqUN3ehqLEDTR19eO6gE2XuLpQ3d2FSfCzezW8Udfwtp07QucfRJKSSnBovDpd7cNTZgj0Od5AjGJ2b//u30+gdHMKhMg9YVBT2ONyYMjFOOJbRceF9dnf0Y+MhJzzdZ7GnqAk1bb2YEBuNp/eVwenpxpFyDw4ZElZBfTsun54oOPyHt+nmtDuL3Bg4p+F4VRtKmjqD6t1f7Ebf4FDQnOlhSvr9wpcEcvi/fLdIjH2FpwvPHXQiNjoK93w2A9FRDN957aSg7dVjVXB19GOvowkLZkwS4/LahzUoaOhAXq0eRiU2Ogqn6nxBkipw3tEyu7QZtd5eFNS3i7mLYkxIp4HnfI2UuDrx0tEqXDlnCp7YWSKVLu1I5TLHWBXoWqAOs/w5lVNvJFe5P0ZN4gDwM+P/ZwGsDzxG8rUK1zE5bbEyfIWmyUMkqGCmDzDj3lShPMxgZ59dJQ1ZCc/By+TXtEpNSWlAQJmkpqJNxi1Tx0l6n3LnsoB/Jys9ppIhpVMWgpz2ibZ3stKjLXhMl1T4fX7tZKVHKTlwZ78tR8tFmBFVsEKZREHDuFsJXS5by7QN2TxRqVOl75G9F1bmV6ZropKoyjRZ1p7KodbMqVG1Fuw4DkYkDn9gtCSOrKysaZmZmeVZWVmXAXAFHpmZmadD/lqFCVlPrc+8+Y57/EJEUMhCJKhA9295CBMqRZhxb56uAex1NPlJBVYgCwsSGx0lDUpHOSca4uREVZvgkCkXRmnmITyczXpY8gmx0ULPEhcThTtf/BjuzgEcr2oTwfqopLbxUIXQgVDdSLGrE9llHkyKjxX1JcbHiHopN/1xVRsKGjrQ1n0WrvY+8RznZPNqfUJXQceYjtHp+na8l9+I65dchid3l6K8uQt7i5pQ0NCBem+vX/iZ3+8pE8EIjzpbUe/rQ523D898cxXiYqJw7ysn0NJ9VkhhnDaqwzhQ6kFJUyc+rGzD4BDwobMVVa09ok93X52B+6+dj+TEOGnYllePVYt+UumL6juojocGrORj8NLRKlHHmeZuHKtoxdTECX6hWHgdbT1nhQ5HJqnS9yI5MU68N1Q6pTTQdchDplBJ9Otr00UdKj0gvx4bEyV0KlT/QPVndoIcyiR4K+9ZBKMrcTw5ki/SWByykCMyzsKKg5yMs1KFtqYI1bnJzHJLZdli5mRnFtiOhueg9yn3LeNI7QTaU1kdqayDZOMtG2OVtJPtaJBKC7Lw5/k1rVKJRCVF8PayHQ0izIgqlLpsTlWOhXYsl2T0qCRRlROljE6VDs/MYk8VxNKOjsOKI2oEoweMosTxVGZm5gshf5HGAI//7pnMpFVfwtlzcmukyybHY/2BM2jvGcAP3jiFK+dMQUVzF9ZtzcWyWUnYUdiIDYcqAGgYAvDy0WqszkjG7kIXtp2ow4eVrahs6UGTrxeTJsZg/QEnrpo7BTOTJmL9gTNYkZaMk9Vt+OOBM1g7b5qQALr6BsX97r5BPPLmaVwzP0VIDGlTE5Bd4sa6rblYnDoJtW29SJuagOgohv7BIcyfMQlHz3jwxwNnsDI9GXXeXtGnjJRE1LT2oLSxHQ+/cQpLLpuE90uaBYd8qs6L9067EBvDMHhOE3UsmzMF1yycjl+9W4jj1V40tffiYJlHSBHbjteirecsTlZ78e3PzUP/oO6gd6yiFdWt3ZgcH4NXjlZjRfoU1LX1YH22E1fMTsLimUmC5o6es3jkzdPYVeTC3mI36tq6Ud3SjfdLmhEbxXC63ifOz0ET45mWnIDssmYcLvcgr9aHBl8vvrDkMjGGj7yZjz0ONyo9XcgubcZRp05Tg68Xh8pb8HFlG1qMAITujl5sO1GHaAbsLGpCUWMnmjv7cbyqFYWNnThR5cXeYjcADY7GThytaEVCXAx2FLqQX98OV0cf3sqph7OlG/m1PqROiccrx6pQ3dqHBl8fOnrP4p1TDahq7UVRQzuqWrqw+YMq9A4M4uzgkFhbM6foa+SdUw04WeOFu6MfCXFRYgzfzW/E33LrMTA4hBuXpgpueH12ObYXuDB47hxyanxYkZaMdVtzcaa5GwUN7Wjp7hfzu3ruNOwocGHV3KmIjmKoae1BhacTzx2swBWzk5A+LVHc5/4vUYwJ671zhsSybFYSatt6hP6Br5W4mCh09w3i7VMNuGHxDHxc2Yp1r+fC1d6HE9VeTIiJxucXnZcMqcTB370VaclC4u/uG8TGQxW4duF0nKxuk0on2aVuZG0vxpVpSZg7LREHS5tx2eR4HCn3iHeEY2BwSLxPEUnCHkYqcQznABjNGJsKRSZgTdPaQm00nFg+OynICS/Qwe2hG+aLa9mlbuGkRh25qDMYz7987YLpqG6pxc3LU/3uUye0H924KMjhit7n2emAAGcqw0GsuLEDmz+oCnKwkuUAp7mcb1523kHsoRsW6c9evwCHSt1BTmh0Bm9emopdRW7cvDQV1y/RnbieuO0K/GF/Gapaa3HtoumijeVzksRzNJe77uCntx0fFyNo5hkFV6ZNEW2VuPUYTn6riMFvPLnD2Twj9lZ68kR/h0Oe810LqMe4ftPSy1Dm7sbGu1bjRHWrcKzj3tLpyRNxxewk7Cpy4/MLUlDV0o1lM5NQ0KDnQdc0vQwvO3hOrzhl8gThXJkyKVb06XS9D6fq2rEybYrISZ5f147PzE8R483pv//z84RT44sfVIgxzK8znPqM/wP7lF/fjlNG3XetnYu8Wh/uWjsX8bFRUqdMHouLOg6WurvEfeqoFxcTZXibn/NbH7K839QZ8A/fWIlN96xBV99Z7C1uwvLZSX5lzZxLZXUFOQOSdcHXIc8cGOgkG8nedwGhEkWghxepBFAlOSpHIuaE60hbtDxInKaQbSOptllkYj1VqltxuOOws+VkxQlLVocqO6EZnar4U7I26JaEWRRYt69Xuh2koscsrpNKyW3mDGc29lZiQMm22qjJr2r7SWYKrDJGoNtPFDIlt2qr1cxx0GwtWNk6MnP6U7Uhi+JspqxXmWGrzHgjCu/QgVHcqrpD07RlmZmZf5QdY/FRM8MvnvxD5nX/cqfULA84b44aGxMlxHBq5kqVi9Q8kovcazKmiu0nlcOdTJlHlXYqZyp+fszZIqWBKsqpcx53ENt8pDJIiQr4bxeYZQCkWwSyTH40J8T2ApcwQaUZ66jzGs+Ml1Ptxf6S5mEdB2n/eL6JyfGx+OvJuqAsgw/+OVcouX29Z6UZ8GRmyrKsjs8frpCaOVOFMM2b8djbhboJrqtTOENSM1+VcpiX2VvUhMqWHpyq8+Gez2aIPlGFN50/7lBZ5u4SRgyqHCsy50vqOEjHkJpQ860qamChUmxTR0xZzg9aLzXdpeuFm3Krsgyq8nGYZfCMKLxDx2gqx0+N5Is0FseEmQu1k5UeU5NIymVbUQLKOCMVd2Nm8mumuLdCg0w5apcjlZkYq9qTlVVx5DJlNJU4VLTJ2lNJeCplNK+DZpYzm19qHGAmAdG+UqlVpaCW1afKt6KSVGSGCSo6Zecqs3AzgwYzrl9lbGLnHVK9Fyqp3OzdiyB0YBQljv7MzMz8kL9IY4Df/tezmdlYgdP17UFOaJR7oVw95cJU2fdkprcq7obXER3FpM5NZiEQVDRQbpjm2eZOdNmlzShv7grKM06lFjMTY8oh0j7z627D0Swwmx6V2ih3/m/vOVDQ0AFnc7fgzlWZ5WSZ7KiER7nQPQ63MJW9ffWcIKmlwDAZDcycSCUuPrYfVbSK/OTUdJfSQx0q7/vc5bh1xSwkxsdIw6XQPtH2eGiQlEkThETyyJunpSbNdB64SfNLR6uk96n0SSU/bi591MidHmg2rnI0la1DVagS2ZpWSZQq6UJWBx172TsScd4LP8Yk5/h4PeJmLtT2FdSZmitSicPMJFTFAZuFMrCiqzAzn1RxhbKQEx+ecZuGeqDPyXQjdnJQqEyXZe2pcleoTGVlOg7VnFLw60dKXcIpTsXJ8+uqfBwqp0ZZOBSVw6VsPGmWPSvPyfRLKrNhMwdPO/q1UM2tVdKAHSkiVHN6O4hILf7AWOQcH6944r+ezaxL/TwGzmliv5g6LHFOnO7rP/LmaRFmorN/ULrfzbmoY84WKbcs48ioVKMKUChz5Kv39QoJgNJAuUIarI873J2ua5dyzpQjozm1edtUN0L3oSkHzK/zI1AfJHNSo+2VubtEXnPq9EYd657cVSJCdZQ36+X3F7uRV+dDvbcX75xqEFJk+rSEoH124Lw+YF+xG90DQ0IKC5SyKM0fOltF7nAewDBQOqPOiS8cqUROjZ6/IrvMgyhDHyMLs0HDb/AwOEfKPSLoIJ1H6nzJ9Si6ya7uGFjQ0I6ixg64O/rxp4+qRWDHMneXkD7peMocPGW6Mao72HDQKSQZ1TxRaYfPNdVPUWmXzg2Vrqizo0xPojrnCEfokIjU4o+RShzmLpfjHNdcPgXLU3VTyuWpE3HbVbMwdWIMbrtqFtbMnYpbls/E11bPwS3LZ2LN3KlY/82VSIyLwvpvrsS9V2fg0xlTce/VGaLsmrlT0dDWg5v+6xBmTIrFyvRkrJgzxe/+1fNTsO76Bbh6fgqa2/vwtec/RGIcw+QJ0ciYNtGv7Hc/p5tjfvdz8+DtGsDDW/Pg7RrAijlTsDI9GQ/fMF/QQOul53euTcfCGf+fvS+Pj6LK2n6q0+lO0tkXkpA96WxkZ0dAQHbCvsmiIC6Iwsg4oDCuARzcEQUUR0defVVmnNEZHUUFNxaRYQ2BEAghewhZO0t3Oul0d31/3Lo3tzrVJCI4837D+f1Ciuqqe8+9dTt1nnvOeY4OCwdFMJ03zegHP3c1fjtWL+vP2G7FS19fgLHdKhsf1XN4nB+bn9+O1bM2+D7o+edmpzLdk0O8EB3ggeQQL9mYSuuMGLb5G5TWGdncrxmvZ/0+NjkJ+iAdHpuchCmpwdBpVJiSGozNM0k14s0z+2HBwL4QADw0Jprp89LcdIR6a/HS3HTog3QI8tRAH6STzSEd3/YFGdCqBey8oz9ra8HAvojyd2fPhOr26PhYqFXA+kkJ7DlXNbbhjiHhUAnAHUPCZWto4/R+0GlUeGpKQrdzG6f3kz0n/vyrt2dCH6TD01OTmA5z+4ch1FuLuf3DZONYPjIaWrWA5SOj2VjvHxEJnUaFlaNj8dzsVKhVwHOzU50+M9r2+kkJinPPrws67iHRPmxMz8xIZWHDvJ78s6ai9B0bEOknG9PK0bFMfzqmvj5apgMvvG4Wqx3fnKuRFZ7iz11r/Rv+PqU+bsrPE4GglqtcIAivKZxuBoE6/1ayQ21ovBi6dKvsXGyAB4ob2hAb4IFRCX2w66dSJAXrcL7GhGXDonC5pR1f59dgYkow+nq7YddPZVg2LAoA2PHBIlL1zcNVhbZOO8Yn90F8sCde/6EYD46ORb9Qbzy0OxevLczEmwcu4UxVK1wEwCYCwV4azBkQzq6NDfDA2o/P4qU5qfgyvwbfnq/D2KQgqCBg3/laRAe4o7TBjFVj9EgK8WTturl25UfsPlqOb8/XYmxSHySGED36eLqi1tiJzDBvDIkNwJsHS3D/yBiIEPDHg8VYPjIWGrUK278vwqoxevxYVI9TFU3QqACLHYgL9IBO64q8qmakh/kgwt8DX5ypRnZaKMobjDhzuRXhvhpUNlmwdV463jlcgryqVqSHeWFqRl9s3nMBj01JxNsHilFr7EQfT1fotK4oaWiDp0YFo8WOxYPDJau9BPffGoN/nKpCTasFwV4atFvtaDZb4eOuhtlig8XWtQ4HRPoiKcQTHxytxOLB4fip2IDiehNiA3UI99PiwMVG3Brvj9S+vnh9fzEi/NxQYWjHmMRAHL7UgA6rCK1agKergAazHQHuKvjo3FBc3wYVSDWyYC8N3FxVKGtsR5S/G2pbLTB32uHuqkIfLy3KGs2I8neHv04rzZsAi11ETIAH3FwFFFwxITlEh3tHxGHt3/Lw0tx0vHekDKcrm5ER7oM7h0Rg7cdn4e2mRku7FSFeWoT6uONUZROywn0R6qPFnvwaTEkJxvEyA2qNFvTx1EhzaIJaAKwiEBuogyiKKGloQ0yAB3w9NDhV0YSsCF/08dLi63M1mNgvGPXGDpwob0KgToN6kwVLhkbC213Dnr9dtLM1uTe/BkV1JqhVgNUOxAR64J+rRrKqjkve+RdOljehf6QvlgyNwsMfncYr8zMwrl8Idu6/hC/yLqOkoQ2xgTrclhSEtw+V4t4R0bhsMLMxXagx4lK9CXGBOggCUFRngq+7Gk1mKx4YFYeHxyewyoLUn7VqjF5W757mZnxzrkZWhOpqVT17I3x7/635H4IgnBBFceC13t+bmXcDkAngovSTDsAfwD2CIGy92o2/hmgB+LgRWOvjJmBEfAAAYER8AE5VkrKdZQ1mAEBuVbMs0euUVKb0VGUTcqua2TXvLhsMfZAOWZG+rB8+WZBPhms1E+tJK/kAxyUHy67dfawSALD7WCUaWjsAgPyWyvLFBHhi1Rg9VoyKk7XLW0gNRuk+YwdrO8jbDQBJUmNJWwJkVf9WjIpjbWdGkKS8gdF+AIDlt8aBz6zjLc6WDqvUXycAYG9BjSwH7+W9hYD0O8hLCwAI8tIiOoAk8JktxJL7pqBWlrw3LomUtR2XFIJ0KbkwPcwbA6LIPOsDSVsLB4WTe6U2RsRJzzQuQFYNjyZqtltsAIDS+jb0jyTj7B/pA0FF8lsFlRoj4sg2S1wfD+k59YG3G0nq83ZzRZRUITAqwB2iSPQXRTubt0ApATA60AOXm8jzuNzUgQ+OlkME8MHRcgR6aqRrNey5+2jJV2zVbbHIlHTLjPTBhJRgCAAmpAQjOZTMRXKoN6IDiR5BnkT34XGBiA70YH1TfTIjfBDhL61lf3csHBQOALBLuh+8WC97/vyapOt7WhoJkx0ZF8iSCXfuv4RFgyIBkMRDvooivYbqs3xkNCoayXerotEsG9N9I4kxdt/IKNbf78bHsyqDNHnvQGGdTE8lRKGUAHugsA7XKteKWm4KJz05QQB8B0DN/V8tnXMBcO5aHCsAfAH8DcB5AAUAhoG8jPaBvJz2AfDrqR1NiF786EiR+NGRIjFq3efiR0eKFPmJPjl6SZEFVYk99VhxnWLIq7NQw55CUHlnppJjng/zdObk7ikc11kfSg5v3nnaU22HA+erWVs8Kys/V0ocTzx3lDMntxLLLe/w5z/n55uy1fKcUfzzdcbGS4/35lWwc3xbzsZHdf7seAmrA/JdfpUYte5z8bv8Kll9ECUndn6l4aqV/hyd5kphtb0J6FAKFOjJye2sPkpPYcN80EhPYcX898EZj1Zvwsmp3HRyXx/BL3SO96bmeBgAHcj2FKTjvqIo2gRB6LjG99WrAL4SRXGuIAgaAB4AHgPwrSiKzwmCsB7AegDremro0b+flx3HBVXAYLbigQ9OIjHEGwazFes/PQ+rrBR1ogAAIABJREFUHfjN7lzotOpun2/9tggnyxrZNWF+HjheZsBDf85FaUMb8iQ0Qh3sAKmFPSsrDLkVTTCYrdhXUCer200h8N9OVqG6pQN/O1mFzAhflDa0oeBKK8b1C8aOxf27wWa+DSp8GyX1xPn51GfnkFvRhLyqZuzcfwnVLR1Y+7c8BHu7oajOhM1fnkdNSzuOlxnw4Icn2fkV75P6Ehs+P4eYQJ1MN6oHHdOr3xWjqM6E3ccqcKS4ASaLHU99dk6irxDQZLbhh0K5btUtHdixvxStHTaUNZplug2NDcDxMgPeO1KGr85Ww2Sx46E/5yIxxBvVLR148INTMJitWP2XXAyNDYDJYseeszXEuc3Nd4dVxL6COnx8gjzrNZ8UwC4C6z85y9p6cW8hZmWFMT2e+7KAPPfdp2G1Aw98cBIA0GEVseavefD10LDxNbVZYLWT9ialhuJ4mQEnyw0QAdz7vyfhL9U4f+wf59DS3gkRwIoPTiE51AcGsxW///tZDI0NIHPxQzG+zr+CzAhf5FY0sfGvnZjI1sjuYxVsntdOTGTrgh8z/ZyfC34d/v1UFY6XGfDox2dhstix44diAJDR3dD1S/t970gZ06ek3sTWTUygjlDABOqY3nlVzbL1SdvIq2pmnzt+R/jjFe+fwMSUENYuP37+O0Cv3XnHAOzcf4mt3789cAsAklz737q99B8lPb1ZANwDQjOyC8D/gNCQ3AvyAnnx576pAHhL7QkO5y8ACJWOQwFc6KktTYhe/OToJRni4C1HakXtOVWmiDh6soCd1XnoKQmNF2fhk1R+LmOqkiXbk5XNj/VYcd1Vwzl5ehEenfBtOdONzuHhizU9JropoST+OTlDUfwxRQafHS9h1/Iogr+Wnv/oSBH7nEcW/PNXojj58PBFMWrd5+LevAqnSIW/j17zXX5Vj7Urfk7ypTOkooTanCFKpT56qmTouEao9CYZ8EYhjpvo49oFNxpxiKL4J0EQ9gAYDLKb/pgoipeljx+5hndVLIA6ALsEQcgAcALAagDBoihWS31WC4LQR+lmQRCWA1gOAC7eQdhxoBwmaU9+y7cl6B/VzCyumEAdiupM2LinEFY78NxXhRgaGwCD2YpPT1fLrKnciiZm4QJAdUsHNn1xHsfLDMzycmZNfZ1/BUCXdcejhrV/y5NZ3LzFBYAlm234/JysDZ4QkbdUqVVPEQcdA7X6jxQ3MKs32NuNISpquT73VaHMIqcW6879l1BUZ8Lqv+QydLLmr3koqjOxfmlbOxb3V7RaKYqgyIGOk1qL/NwcKTahzmhBUZ2JWdRrP8mXoT46bwC66UYRldUOvPpDKWvryX+cQYdVxIr3TyLMz4PdBxB0kfNFITqsIjZ9cV6GLHjEwa8Raok/8+VFAMDze4uQGOKNDquIPx4sxY7F/ZG/cTIAkIgiaY4OF9WhwyrivvdPwWoHQ3h0rgDICAp5dLH9+yIcKW5gaw+AIlJZ/Zdc2bxUt3TgyU/PMXRC18qLewtlz4w6o0vqTbLnT9fNilFxMn3omv3qbDWK6kxYuusovlkzGoAcARworFP8jozrF4xx/YJlKAqADGnzKIIe9/Fxk60d2ocSOrmJQn5l6c3bBWS76hYAt9Kfa31TARgIwApgiPT/VwFsAtDkcJ2hp7Y0IXrxwPlq8fDFGladTYmeIresoUdrSsly5Os391RlzxnthTOEQ8VZtTVnCXc9Jdnx/fFjUkIczhLL6Pnv8qt6nYRX02RmVvaB89U/K6mR3vfZ8RJFMsOerHq+P97n0NOYeOTgDKnQ48+OlyhWAHTmf6HHnxy91A3JOlLjKK0tZ7VQnK2LnpIoldYkv76doZqeSCydJbv+HEoZZ3ItyYA3UUjvBDc6AVAQhOcBbAGQJL08hgO4JScnZ/e1vKg2bNhgBzBfFMVHpP+bAMwDoN2wYcPHOTk5RkEQQgHMy8nJ2X61tp55eVvOcbcBOFJiQIOpE6crmvHjpQZGiEdJ5TZ9XsAoK3iaBj4577kvz6OxzYrvztdi77kaXG7uwMGL9cirasaAKD+ntZVpGx4aNat77Ywug0+yo8lUPH0FT+vBJwDyCXc00YtPsuOTHvn+3j9Sxqr6nb3cgv2FdTh4sR7VLR2oM1pk9bIhCCzp7d2fylBc34ZvCmrR2GbtVRKe1tUFHx6tQIXBjDNVLThRZpBRYVQazKyetmMS3a4fS2C02HGgqAFtnXaMjA9CvdHCqhq+uLcQZY1mXKgx4tvztez5fnb6MuqMFvxwoQ55VS1wdVHhtW+L0Nphw5HiRtmY6LzkX25FucEMTzdXpm9RrYm1dbzUIKspXtlkxlf5NThQ1ACLTexWAfC7C7VsfG8dLEaT2Yr9F+qgdVXjp+JGHC1tQkuHDf8qacSBi/UsqZEnPORritPzPOUI/3z5hLzxKSGMzoSuI54okqeq4ef+1W8v4nJzB/adq2HzxrfljEjxQo0RBy7Wo6jWxChe+ARA/vukRGHD11F3RqrIi1LSXk/JgjcT/XonN5xyBMT3oP0lbyeFNg8CSJSOcwC8KP2sl86tB/BCT+1QkkOlKBjecuJpNpzRXij5OAqrm3td19sZdbszgj4l0j1n0SxKVh9vOfO6ORsTvea7/Cp2Tulz3sLfc6pMEak5s3rpvH1y9BKzzp1F6yj5Yvgx9eSr4RHO4Ys1TB8+4qkn6hAeIThbQ7SNvXkVishBSR/e9/HZ8ZIe7+spas7ZfCtZ+DzydYZUlFBrbyoVKhE39sbHoYRWnSEOZ+31Vm4ijt4JbjTi2LBhQzaAj3NycizX/Hbq3uYpAO9u2LBhFUgqxloAPwJYv2HDhicBBAJYnZOTY75aO5te3pajSp6AvxyrYLWjHxijZ5YTtT7cXF3weV51N4I+ann9dKkBIgRWy1mjdsFHxysxMj5Isa43jwYoQRtP3c6TtvF1r3krk6KSb87VoNxgRl5lM+qMHUw3ngKCRypU56/ya9BkJmjgVEUTs5AptXlBdSvOVbciv7oVTWZrl+VcWM8sYH7MPP3I53nVKGs04/ClRhjM1m51uHmrl7eGKR3K3oJ6iAA+zb0MN1e1Ig36/xwuY8jozluisWK0Hve9dwLlBjMOFdXjo+MVDA2VNZrZtTyN+aoPT6HCYEZZg5nVEZ/9+mG0W+04UFiP42VN3WhLbtEH4o5hUdCoVbjj7X8xlPFNQS1bQ/HBXgxd0brmx8ua0NhmhZ9Oy2qk1xkt8Ndp2LUf/KsCBVda0dpuw5v7LxEEW1gPc6eIJrNVkcrkVEUTWtqt3c7zJJY8PQmPAHhKEfp8alo68Bcp+opHsDwZobe7K5bcEo3Tlc3sefBUPN+er2W6hfm5s2vouq43Wlhdc55Ghyc55I95nSnSdoY4eMSgRMbYk9ykWu+d/BqI42MARQDeBPAa/fklb6vr9aMJ0Yvf5VcpRnuIYpf14YzksCfCuJLa1l5TgvMRKs58J0qIYm9eBbN0+c+dRUpRq3bPqTJFxMH3x/t+6DWHL9b0aNXTvg+cr1asw+3MOqXX0AgkR6vf2dzTOTx8sYZZ7LyvgkcRfH/0/IeHL7K29pwqE6PWfS7uOVX2s/I4nPnJ6HzuzatQnAtnz4zqv/O7AtauM1+NUmQaj1ScoU+l+eQjAZ35OKg4ex49fUdyyxoUr+2J0r43RIk3o6Z+HcEvRBy9oRxZ6uSF8+41v62uk1DKkd33DsLiPx3DB/cMgtVmx5JdJ/DesgFIDPHFgx+exLjkIDz3VSE2z0zBP89U4adLTRgW54uZGeFY98lZPD87FUaLFZs+P48npybhyzM1OF5mQLivGyqb2pEzLQnD44Iw/82f8NH9w/CX4xWMZiG1ry8e/igXI/T+OFjUiLuGRaPTZsMHRyuweHAEzl1pxanyJmRF+sJLq2J0GTEBXnj3SBm0LkCHjWQbPzIhEes+OYPnZ6dhz9nL2F/YgFEJASi83IRqow2hni7w83LHuWojvFyB1k5gfv9w6LQujC7laGkj8qtbkRLqhUs1rWi3A24qYFCcPw5ebERsgAbFDRZsmJ6Mtw6UoLKpHeG+bvDzcMWZy61I6+uFlFAf/PlEJUI8XXDFaMNIfQAMbZ04e7kFqX294evhgkNFBozQ+yHUxwN/PVGFeQPCcLayGQU1Rri5AO02YFCkL0ydNpyrbkW/UC9o1S6MLsPb3YWNLzbQC7sOl8JLA7RagIQ+bmgwWtHQZkWAB6GpsImAiwAkhHiioNqI5FBPFFYbYePWQ4DOFWaLDW2ddni4qpAe7oMjJQYMjfFDYU0LGtu6rvZ0BcL9PXC+pg1JwR6obe1AY5sN/h4uUAkC6k1WBOrUCPJyQ8EVI7svPtANgd7u+KnYgGGxfkgP82V0L3mVTfipxIBhMX64WNOK+rYuTiY3F0DnpkaDyYoAnRrxfbyYbqlhPmw9HS1pRF5VC6NG8fdQI9zPA3lVLUgP80ZmhA/eO1KBJUMj4ObqyuhlDl2qxbnLRvi5CTC0i1gyNAIHCxtQ0tiGGH8PTE4PYZQjiwdHYemuo9C6qpB/uZVQiwyJxG//moet89JhtdsZTc6r3xWhwtCOCD83TEvvi9f3F8PfwwWNbTYkh3iivdPO6FDGJvXB2z+W4t7h0XDTqBmNCC39umJUHDzdSCDnS19fYJ+n9vXGgx+exOuL+mOSlM3Oi8VqZzQjAK6JcoRv41qpSv5/kl9KOdKbcNx/+wuiJ1n8p2Owi+S3SMoVY8muExgQ5YfjZQbkVhDqkde+vQiDmdBonCxrRk0zOX7zQAlqWsiu2Ja9hfh+zRg8+OFJXLhCkpq2flOEV78pgsFsxfw3f8LgaEKBUdFgRpWhHSKAM1L96tNVTbhsIG19U1CLyamhOFXehIwwX/z9ZAW5prwZFYZ2AOSlAQCi3Y4/HrgEAPjjgUuMCO785VbUGclFNUYbbCA7hq1EdXxx9jLig70AEOqU2lbSbm1rOzzc1Wg3WeHhrsaZSqJfcQO5/5V9F2GzEXqK5jYLXKTvUkt7J746R8KLr0j95lU2wU9KejO2d6K4zsjmsNNG5vYfp6qglrYH2qUxHS9vgrfExVLV2IbZAyJwSgoh/iKPRHQXXG5Fi/QHvVXaDC2qa4dOQxSy2OwI9lTjcquV/Jbm7bKhHWoXwMa9OSwWK7Ii/fDjpUZkRfoSBzmAY6UGeLjK/1hoNa4orifPqbjeDK2a6N5pE6F1kbY5REJjwktJYzuK64kOR4sNSA+XaGkE4GgpmYujpQb4ebjK7uu0AybpmZrarThWQq49VmKAr0R9UtnQxihaKP1ei9kK+HVxyhy62AAAOHSxAeNTCIWLIABt7eSOlg6RfR4dpENJYxuig3QyypGlu46iqM6EPjrS76JBkdhbQMLQ9xbUoKaF5PXuPlbJ6FzaLTZG8UIpZS43mTEjM4zVqq9okuhHmsx4eV4mALCXhmP9cb4G+qGiOsV651SuRwjuzfrk11mcQREAH0m/zwDIc/z5JTDnev1oQvTi8rcPiXvzKlhyFn9MYf+Hhy+y7QI+WZB3iPJbI0qOZH4rQ8l5eKy4TtEp7WzbSinMk9eH748fE91eee9QoeLWCt8Gf0zve+uH82zbh29Xqe93Dly4alu5ZQ2yNuh9m/6Ry7aQPjteIkatI0l6zhzJVP93DlxgbfHbU/y88c+J9v3SnjPsWl5PumX24eGLitfybfHHSltYO745x+7jx8Rv1fDbZLQ/OhefHS+R9fHJ0Uti1LrPxU+OXlLcJnS23cePT2mLkt/ichYeq5Qs6Cyogj+mW07HiusU+1CqK8IHljjb+r1R9Thubns5F9zACoCHcnJyjBs2bNgDYLfjT05OTrPijb+iPPPytpy6yNGwiSpcrDXCDhU6bMDR0kZEBXrhf4+Uo6zRjEOXCJ3I6Ypm/OP0FdjswIGiBhwrNTCH6OnKFlxubkeFoR1/PlaOojoTjpYY0NJuw6jEPtj23SVUNbWjrMEsC02lld7+sOc8c+DWGy3M6cw7hFs7bPg09zJGJfZBZqQfltwSjZW7c1koMe+g/f5CHTtfb7Ky8Z0ob0LBlVacv2JEa4cN7Z0ijkjbG42mTnydX4PKpnYU17fhUFEDO7bYRPxU3IgT5U3otIk4WmLAl/k1aLfacaioAYcvNbK+T1U0o6qpHXmVLWjrtMNkscsCEPpH+eOfp6txW1Iwnv+6EI1tnSi4YsTl5g4U1hiRd7kFdhE4Wd6ML/JrYbMD3xXWQy05/bWuLvj2fB1zJFP9C2tMMHbYYIcK7/+rHMYOG46WGFDZ1M6c/B+frEJjWyfOVLVg77laGDtsOFZGluLREgP+fqoKbZ127DtXg33n62GzA4cuNeKHwnq0W+04Kl17oLAeze12FNYaYbFB1m5Zo5npRvQyori+DcYOG6x2AR+dqIKxw4bcyhYU1ZlYUME/z1xBY1snLtSY8LeTVei0iTgpIb0jJQYU1raxNfaP3GqiT2kTTlY0s4AG6ig/V22EscOGqqYOmfN85/5i9hz4sOFjpQbkV7cit7IFjW1WNJmtmDMwnFXh42to0OCPU+Uk8TKvslkW5vz9hToW/mzutLO1TGuyBHq54V8ljRiV2EcWCMLXG+HDdGn99bOXW/D2oRKnNW2c1dvoKQTXmfBtKVUy/G+WX8M5/nxvzv07fjQhevGdAxcUQ2n50EbeAe3MCaqUkMbTRThzHlJRcmDnljX06CTkr+2NZank5Fay3h3HRPumVrGjdc73Tdvbm1fRbU4c9VQKaaXW+d68Cpll7cypTu/bm1ehSAHjzIlNz394+CIbhzMCQiXd+HHwaEEpNJevHMi36ywYgbbxzoEL3fS9Gt2JElGks9DdnlCEs0Q+pcRYZ4ESSmvIWQh5T+G4fHKis1BbJVqea5WbKMO54FcIx30hJyfnTYdzW3Jyct645rfVdZJnXt6Wc9pzMH4qbmSJbnyS1bIRMZg/KAL3v3+SWWlaVzX+VdKIUB8PltDk466B2kXFwm237LuICoMZBwrrUVzf1q0qHJ+8Nn9QBADg/v89wSw2mtD29dkr6NfXR7EGNrWmaEhpUa0JsUGe+Oh4JW7RByLnn+eYzu1WO7PkaALg6YpmlBvMqDNaZIlnfOhqoJeWjYmGY85/8wgLV20wWXGhxgiTxY5gbzfW91Of5qPOaMGhogZcbu6Ah0YtS5b76HgFC5s9Wmpg5989XIq2Tjt+LCb794eKGrDvfD06bSIOXWpEhaGdWch8GOtvdp9CW6cd312oQ1VTOwbF+ONgUQOzdF/8+gIb39f5NWjtsOGwpFvBlVacLG9GW6cdxfUkbJkilYY2K0MUuRXNuFBjxL9KDbCLRLcKQzsLq932wyXYReDrc7X4Or+GoZaMCD+8fagEp8qbSH/VrfjkZBVLMvz2fC1be5/nVTPdPLSuOFLSiMIaEyFabDDLkgwrDO1s7mn484UaI/ZKFREPFNazUGg+HJuihVv0gQztumtc8Pg/zuJkRROrDOlo9fNJpBQ5UCTVaOqUoVb++KBUw5yvNPmjVK/GMYScDxvmw21pWHC90cKqXfIVJflQWx4Z8dUlr0VuhuY6lxtWAVAQhAcEQTgDIFEQhDzupwTEz/EfIavHxMgqpPGV42hlsZfnpcPPXY03FveXVS/jj4M8XeGiAoI8XfFkdhK0agEbpyayamt8NT1a3e3V2zNZHxun92P9vr44CyoBeH1xlqxyHl+RjlYhWz8pAVq1gCezk2TV5N5Y3J/pzFdko1XfNs0g/T0yIQE77+jPKuDxVd+Uqho+NkkPANgyL012LT9+WiXxhdkprN9nZ6XCz12NZ2elynSjc/VkdhJeW5ABAcCj42MhAHhtQQa2L8gAAGxfkCHrj5+LLfPSAABPTI5nlf6Gx/lBJQDD4/ywbWEm1Cpg28JM2fEjExIQ6q3FU1NInYc14/V4YU4qBAAvzEmVVfWjfb8yJ4U9G77y3itzUgAAr8xJwVtLBkCtAt5aMoBVr1szNpaNc8v8dKgEYMv8dNlc8OfpM3tsop5VHFw9Opqs2dHRskqF/Jqlx1vmpbG1xz9/fj3xQuupvLG4P1unfOVEfv3S6pPrJyWwNcQ/m6en9sPAKD88PbWf7Dxdn28vGYiBUX54fVF/xQqBABQrZj42OYldS3VID/ORVeTja3PcKLlZAfCXy9V8HBcB/B1ABAhDLvVvbBNF8YNfS8GryTMvb8s54z0UJ8ubmHXO1x+niWpFtSYU17fBx10jS/r74kw1O373p1KYO0X88/RlHL7USOgkCuthtNhRUN2KBpOFWWw8Ovk8rxrbvy/ChRojCmuN8HRzxV9PVDF/yFf5Vxg6ee+nUpbUFhfkiRXvn8D+wjo0ma04XmpAdKCOWWH7C+sZGnrnx1KGomiy3+GiBkYdQv0ere02lujnoVHLaB9e2nsBRXUmfHuBJOcdLTHAJoJd++SnZ9n464ydyK9uxSGpPvfZyy1kDJIVWtPawXR7/YdLzIreX1iPxrZOZtWfqWrBwaIGNLZ1Iv9yqww58TXHvz1fB2OHDd8XNqC1w4ZDRfV470gZrHbg87xqXKw1KfptTlc242RFE769UA+bCHxXUIvvL9QzNPDXE5Ww2ER8dfYK1C6EjiW3soUhgN1HyxmSOXipkfktalotDA3s+rEE5QYzvj5Xi04bcLzUIPM/2USwuXjrYAk7T5HvvvN1sNpJYaW/5VaTokgFdfjizBVY7cCes1fgrlGzNUuTKI+WGFhtdIpCCNq80g3tAoC7xgXZ6aHY9WMpW6db9hUyZGiy2Nh5mlzK08/w60aQKGEGxfjL/BYUJdyiD8T6KcnQuanxY1E983E4Qw70PjdXF0aHsvNAMUtw5WuS84mKN0pu0pLcQB8HAG/pt7/Szy/ZH7teP9TH4SwJSSkpit+HdnaslPTF70Mr7R3nljUoJk0p7eXzPgWenoP/3BkBIR3rgfPVivvQzhLElGjF+c953wDVY+d3BeycMxJApT1+PhrLma+CP0/73vldgaKvwlnEj5KPo6cIs/cOFSr6u/hIKf680nPir3Xm26J60kgxxyg23qfSExmjs8TBnihsevpeHCuu+8UEm858FUqRh85oeZwl8CrJ9fBb3PR9/HIfh9MEQEEQPhdFcaq0NSVCHmUtiqIYe81vq+sk2tB4MXn5q/hi9Wgs3XUU7y4bjCBvN5boM//Nw8itaEaEjxYVzR14aU4aXtxbiJrWDgR7aSGKIqv1nNLXB98X1mFMQhDUKlIPPNxbg8oWC5YMicSes9WoN3UiUOeKT1eOYP29d6QUbx4oQbS/O0obzZiYEowIP3eW0LVydDye+PQsnpmRimW7jiK3qhmZYT5oNFtQ3miGADK5wV4aGEwWWOyARgWE+Xl0JVYl92HttVvseP9oOXw0ApotIpJDdRgaHYRdP5Vi2bBoaNQCS0grqjOyGueXm8wouGKEhwvQZgNGJ/jDRXDBtxfqMDYxCCX1RhQ3mBEb4I7qJjPMXH6ExgXwdlOzpLjMCF98c74e45ICIQgq7CuoxfjkPjhV1ihLeovwc0NamA/2nK3BlNRg/HipgdUZn50Vhl2Hy7Dslih8fKISLR1dHUYHeMDX3RW5lc3IDPeBr4caPxQ2YHRCAOqMFuRfbkVKXy/UtXSg1mhh9bnHJgVhWnpfViP7x6J6/PVkFeb1D8NnuVXo4HYmgjxc4OqqwuXmTvT1cUVtayesdkCtAgQR6BQBVwF4dnYa1n58htVRD9S5otHUCTvIPm+YVO88ws8N3m6uLPnSarfiQk0XY46vuxopYd74sagRw/X+OF/digZTJwJ0rgj398DpimZkRPiguc2C0gYzfLQqNHfYsWqMHgcLa3C6qhUZYV4I9HJjzzQmQMcS7kyWTuw+VoW+vlpcburA+OQ+eOX2LJZ4R/0OtyYEYfXuU/gy/wrSw7xxpqoFr8xPR8EVI948UIz7b41FQh9PVke94Eor3j5UgntHxOBkuQEny5vg6+aCpnYbJqeEYM6AcMV64C98VcDWrItKwJsHSrBsWCR0bhqsGBWHTqudfS/uee8Yq3H+5+XDuiX7DY0NwJHiBlnp2Jv5GL9MbljNcVEUp0q/Y0RRjJV+059/+0uDSqtFZAlNS3cdldUkzgon9bXbbeTl+OGxCoxLJottXHIwAqV62YFeWpQ0mgCA/JYKdzdI9cQPXqoH6AtWlPdHE7a8pIzYCF93WR3mJz49iy/OVOOJT8+S+uCQ6oRLN9IMzKRQL8QGkVrOsUEesjrTfHv7CkhyXrOF3F9W38Zqq5+qNMjqjzdIGXUNrRZUSUmJNHm6oNqIBhPJImwwdWJkAil/MjKhDzodtn5jgnTgG66XapHT31REBx9ku8WOCdJ8T0gORno4qZedHu6D3AqpxntFMzKl2u5+HiRZMCZQhwCpfneApwb5UnJlflUL6lpI8l1dSzur1e3mKj0vY6esRvaes6S2yZ6z1awWOxV3Nw1qWoj+NS2dGBhNdBgY7Qs7TcITyZoBAKOU9NZuscKLqAYvDSBIDQuCgFpJt9qWdpTUtcv6m5QSjNwyqV56WRME6fkLEBEoJVcGemgQG0i2TjIi/dhevyjNvQhBVn++0kCSEysNbdhzRkralOqhC6IoqyPOfy8mpoSwpykC2Jtfwy9vWR31ikbSR0VjG6tFPjmN+GcmpoQ4rQde2SDpxiU15lY2M33478Uiactt0aAIWRvsJbH/Ejt3s174f4b0aiNREAQ/QRAGC4JwK/250Yr1Vl6anSxzjvPOw0VDIuDnrsbGqYnQaVR4ZkYK7hsZg1BvLe4bGYNHxhNH8SPj9Xh2JnGaPjszBQ+P00OnUeHRCcRB99SURLx3zxDoNCq8d88QPD45AQDw+OQETEkLgVYt4KExsdAH6bBseAxWjyX3rx6rlzlg108izvb1kxKxc/EA6DQqvLaAOEGfmNIPz8+4L38nAAAgAElEQVTJgFYt4Pk5GXh6KnFMPz01BfeNjIZaBdw3Mhpbb8+ASiAOaADYsTATW+dnItRbi63zMzE6IRAqARidEIh1kxOgEoB1kxPw6u3pAIA1Y2MgAHhpbho2z0qBTqPC5lkpWDlaj4FRflg5Wo9ttxNn9dPZ8Qj11uLNxQPx3t2DyfjvHowN0/tBqxawYXo/PDwuHjqNCg+Pi8f/3k3m6InJZF43z0zGoJgA6IN0GBQTgCWDwwEASwaHI2daMrRqATnTkrFxeipCvbXYmJ0EtQpYOToWD92mJ/N6mx5b5qdDAHE6b5iaBADYMDUJdw0jf3DWjNezcawYFQOtWsCKUTF4aXaKtEZS8KJ0fO8wosOTkxPwzHSSxfzM9EQsHkCKCy0eEIat88i1W+el4OmpRM/fjokGAGyanoStC7LI5wuysGVeOtQqYMu8dLy9dCC0agFvLx2IDdPIGpmXQV6cw2N88dzMZADAczOTsfu+YfBzV2P3fcOwZkICdBoV1kxIwIOjY6FWAXcODseR4ga0dVjx2oIshHpr8dqCLOxYRBz2OxYNwENjydw/NDYeu+8bCp1GhednkTlcPipW5lTn/+BOSQ/FW0sG4uV5GQj11uLRSUl4YFQcstNC8cCoOGyRzm+Zl4G1ExLg567G2gkJmJ4VhreXDMTdw6MR4q1FZoQPK+SkUatkDvFn52QgOy0Uz87JwD0jYjEwyg9/mJnKHPS8031SWl+sGqPHpLS+Mqc51XnFqDimO98fLz05vG86xK+v9Iar6l6QCn3hAHIBDAXwkyiKt9149a4u2tB4sd+K7Qjw1KKozgR9kA6+HhocLzNgYJQfmtpIVTitWkCHVcTAKIJA6Odnqkj9aq1agL+HBtUtHQj11kKnVaOozsT60WlUWDY8lnHr7PqxGCaLHTqNChoXFQxmK9QqwGoHstNCceFKC9PH1GFl7dJa5gOj/BDs7YYvzlTDz53UQOf11QfpkBjijS/OVCM7LRSHi+pgMFvh565mY6X96YN0mJQaynR76+AlNiYPVxd2n5urC6pbOtjWmKM+Q2MDWBu00hvVbdUY8iJw/FwfRKrT0WOqB9VNp1EhOdSH9XGynDjNVQIQK1Vn5MdK7+P1DfUmKI0eN7ZZ2PhsdhH834GBUX6oMrSxa9s7bWz8FhtJZGRrR6IYoW11WLu+B6HeWqdrQa0CvKS69fzzcHxmX+dXw/FvlE6jYuvm1QX92ZbLc18WsDYajB0wmK1QCQTxOD4bvjY8f9/6yclY8f4JaNUCTBY7/NzViOvjxebesZIeQCoWUn0dK07S/mglQr6NcS//wPqllQABOf8UXwWTnh8oUQA5rid+TH+XGH+z00KxY3H/q37/eeHrlittYfX0+X+b3LCtKk5WAxgEoEwUxTEAskBKv/5HyB2Dw3D/CCmXYkQENk7vB51GhY3T+2HTjH5QCcDtWYQ4LTs1EPePiJSujcQz0ySLc1oifjeWhBP+bmwM1owl1vyDI8m12xdkYEAECX8cEOGFt5cMgEoA3l4ygIWSPjI+DmoVsOyWSBkC+tPSgdBpVPjT0oEy3eZmEZ6hOZnk9+KBIbL7+FBSinwenRCHdRPIl27VqGgIAJ6emiSzLLfOTQUAbJ2bis0ziIW7eUYyNk4jlvoD0pg2TkuSzQU/PtrHzHTyBYvzd8XohACoVcDohADMziTnZ2cGy3QeEu0DAcCMFLLttXJUNJYO7gsAWDq4L16eTfR5eXYynp6a1KW/NBeLBvRl4+TDbh+bSPR5bKIeOxcRDqSdizLx4izS3rIhYWwcFIk9Oj4WvxtHjn83LhYrR0UDAIZHkS3A1WNi8DvpOf9ubKzsPv545a1kjqYlEX6y9RP1eOg2slYeui2Gfb7y1kgsuyWSrYFVUn8jo8nL9enseNl607qIsNlFaF1EWZjuU1PiAQBrx8Wy8Gcagr1wUAR0GgF2UYROI8jmkIberpfm6oXZKVgzXs/ClA1GCylta7SgtM6IYZu/wcz0PtBpVFg5OlYWHs2Hqa+flMDCiWlI99NTk1gIMj1X1dgmC/nlz1P9n8xOYp9PSQ2GTqPClNRgWd98KLCSOEMOPW1h3dziur7SG8RxTBTFQYIg5IKUe+0QBCFXFMXMX0dF50LZcXmhVg1vffJCrVq1iiQIUYvTYhVZBICLdA0VfZAOxfUmZi1PTg1lVtHJskZZH45WKI8GeOstt8LQzSLVB3VZ4dXNZmadtlnsTDeNg3XsaFnyFndLeydrA4DM4tZpVOiw2tlc2EWw8bm6yPug19O2+HZ4nUsbTN3GRBGOACCEs+R5NNDaYZXdJwCMoJKfK7UKyIzoOn+pthUGc5cz3nEc9qsvbZnQ62muGD0WRbZFLxuP0vh83buQCK8XQJ5TW6eNrbdOm6jYn0qQr71siS3WEck4Qz5UHz934j2jn9+iD+q2ZumYHZExRVnOzvNIlEef/Frnz1MkRtfKqjF6fHyiQhFRbpqZdhM5/AryayCOSkEQfAH8A8A+QRA+BXD5Wju83nL/8Ai8ModYnq/MSZYlpFGrdfEA8uX7/cQ4ZqW+OCsZq8cQy3H1mBi8voAgh9cXpOHZGcQ6p5bs45MTsEPa999xexqzkOdmhbA+npisZ0lvvCXIW1a89UYTzhZIbb04K4lZ+usm6LFVQjJb56VhizS+LXOSsV3yVfxmVBQ5Ny9NNmY+AY5HRjQRj6Kol2anyJLenpQs3SenxCMnm+zPj9cTZ/aj42Nl+vx+YhybT4rqNs3oh6cd7vv9xDhsnkGs7M0zEmXI4QXJ5/DC7BRsm0/apv6AjdMSZGPin9nigV0IjbZB5/Dp7AQZqqG+licm69nxxHjiBN80LYH5LX47Jhp/kPwdf5ieKJuLx6X7ZqUEsfXx4qwk9syeyibXPpUdz9DCU1Pi2fMZG+fNzr19Z38IAN6+sz/evWsABADv3jVApvMbCzPYnFP0snJ0LEMG9PM3FmawhMvXFmSwpM2N0xLYOT6RkfcpUBRMx/n45AQZMuaTGvn1RM+/tiCDISDa72sLMmWIg2+Dooi3lwxkDv/d9w1FqLcWu+8bivfuHgw/dzXeu3uwDBkooQveB3KtctPf8culR8Qhu1gQRgHwAfCVKIrXrSLgtYo2NF6MvudVpIX5dvNr8P4OijIcLV3eKsxO60IRP1yo6Wad83v1ShYw3Sfn96mvtldPj3mrr8LQdlWfC+9ToPddzULsH+XPxkT9LrxFyutWZ+xgYwLkVq+jPrxvhEc4tA0qjlYvRRbOrGV+vkN93Lvt+zs+M8f/q1VAkKdW0R9C9efn+1KdiaEFDw5R8UjMcS6y00JR09Ku6CejPhce+fC6TUwJVfQpPPmPM93mlurpiGCVfHi8VU8RoaPPJSZQx9AAgG6+KN6HRz93RAZzBkRg+/dFDDk4oiGlPhx9GD8HRSid5/0yP8cH0pv+/pvkhiMOQRA2CoIwXhAEnSiK+0VR/Ow/4aVBJSc7QWbJ83vu1KewaVoio4Lg9/15y5nfn3532SCoVWRfmlrsvAXMW32075xsQh3y8rx0/M+yQdCqBfzPskEyGgreeqM0IS/PTmYWG79/z18rs+olNPPYJD3zAfBWH9/fb8fqGW0F3YtfPjyCWaSbZ5J95M0z+zGrf9v8NIYcKFLbuShTdi3vq+H1pG3cP5z4nF6YnaKILLbNT5M9B/rMqG9h67w0+ZgktLNlXho2SdFKm6YlMIuaRko9nZ2Ap6aQz5+aksDQ2fbb05n+6ybEsfXBoyGeGuXxydQSj2eo7NHxXVY/P37+me1aSlDErqUD8OrcFNkcvjgrWbbGeHoZ3tqn1C4bpiawMb88L52tLZ6ehF/rFFFsX5DB5o1SsjwyIUHmJ6HHFFlvX5Ch+PnCQREyNEDpQN5Y3J+hF74PHnHw1CEURQyNDWCWPm/1O/M/KKELSq3yzIzUa0YO/NzflGuT3vg47gYwAsAwAK0ADgI4IIripzdevasL9XEEeqhR32ZFoIca7lo1S8gK9HLDqfImaFwEWGwiYvw9cKW5DWYb4O4CQBBgtopwVwtwdRHQ0mGHt1aFKamh+POJKoR4qXGl1YoxiYEoqTOhtNGMaH93+HlqWVW/8rpWNHDZchnhPhgU7ceSn/blX0GZoR1Rfm5o67SjzmhBkKcGmRF+2FdQA393FzSaSZU9Y4eNVcirMrSx5MROmxUGsx1+7ipYrHaYuPSJfqGeCPLUYv/FBoyKD0BJQxvKG82I9HeHh0aF81dMSArR4fwVk2zuwv3c0GyyoNVih5dGBR83FSpbrAj3VqO6xSqrrNcv1AuXm8xoMlvh665GqK8WBdUmJIfqcMVghqHdDj83Fdzc1Khu6rIpeN+KTqNCkKeWzWF1kxkddkCrAkJ9SfIklUCdK7Ii/bGvoAbjk4NxsryBVc7rsNph7LDDU6tC/0hfHLjYyO7j/VNqFRDq444KgxkRfu5oNHXIUGSojyuaTZ1oswIeasBL64Iakw3BOhfUmmwMifh5qNHIJTXGBLhDp3Vl1RBFiCwhMSvCD+//qxx3DInEDxdqUdnUlcvhqQYElYrN99pJiXj6swJsmJ6MwitGVjGy0mDC/ouNDBkG6tSIDuzyYfUL9cJ7R8qxZGgkDlysQ2mDGdEB7hiTEIxdP5Ui1FuD6hYLhsf6Q+OqwvcX6jEmMRBqQYV952sxPqkP1C4qfJl/BR6uKrR12hEboEOEvzv2X6zHqHgSzv19YT3GJARiRmZfPPxRHl6Zn45B0QFYuusohsYG4P1/lePB0bG4WGNkCaCJId4MZdwzPIYl+Onc1DhQWAej2YKH/5qHbQsy4aZRM6t/aGxAtwqBQM/o4ucgB74CIJ9EyCct/jdVBrzhiEMUxXdEUbwbwBgA7wOYJ/3+zxHqYVQJaG4jf7ia2yzIlCyVICmxLDpIhwBpmyjAWwt3qSqcu6sKYX4k2ibMzwNfnSPV0GpayR+M0vo2iHbyp1S021i7mWE+oH+L6EQGempkCXs0KU4UgCApATDIS8sSCpukl05eVTMyI6R2I3wQKGWZBXppYJJSnk0ddlj4v+gAqhrNOH+lFQDIby6Tq7yB6FHeYIavu/xR1ze3sy+KRq1Cg5n00WC2w9vx2tYOTEohlvOklFCU1JLkrpLaNrRLTvR2qyh7aQCkUhxtSQXAU0v+KHhq1dCoXaS+XeDlLi9E2d5plY3DImUkWjrJSwMAjB12nK5okd0nAnCTqve5uQhoMpGghSZTB6t2SKW6uZMlOnbagRqTVGXRZEOIF9EnxEuNtg75hEcH6GBsJ29uY3sn6pqlhMTmduzLJwmH+/Kr0dwmD8oQXFTolBJRO20iXtl3EQCpxPhNQS0AUjGSL1MLAB4aNV5f1J+RCh4qkioAFjWwZMHYQE+WBFrdQp7BqQoDq15YWt8mSwydmBIMAUBWFFlvI+IDUFBN5rKgugUlDVIybIOJJAeCJAnSxNd9+dWsmiDfMI8y+AQ/+od6bwFp69yVFhnK4BMVeeHRhZL8nEgpPrHQWdLiTem99Gar6m1BEA4DeAMk0XkuAL8brVhv5dHxsdi2IBMqAdi2IBPv3EW2md65axAmpPSBSgCeyE7GwCg/PD87HVvnE2f21vmZ+MMMsn3xhxn98NzsNGjVAp6bnYZXpK2RxyeTJLStt2cgZzrZesiZnoJFQyLh567GoiGReP+ewdCqBbw6L0VK7kuSJextW5AFrVrAtgVZ2Di9H9QqYOP0fnh4PEne+sMMso22c3EWZmb2hVYtYGZmX7w0l2w5vDQ3AzukrbEdCzPwjrQdQhloty/KRE422XLJyU7E83PSoBKA5+ek4U9LiXP8T0sHYNuCLNl9by0dgI8fGI5Qby0+fmA4tkhbMlvmpGDLPNIfdR4/PzsFcwf0hVoFzB3QF28tIU7et5b0x2Zpu2PzjCS29UcdyW8uzpBtM70wN52w7s5Nx/v3knl7/97B2DIvE37uaqyRQqKfzk7EqtvioFULWHVbnGy761lpe+nZGYlYL/U3IzmQnds0neizaXqSbDvsjcUkaa/LkR6PdZKzft1EPZ6WnNxPZ8dj551kq3HnnYPwsBTSOy+D/LG9e3gUNs3oBwFk6/D5OeSP2vNzUvHSPJKo+NK8dPxxyUCohK45fGFWCnYtI+d2LRuIbZJje9uCDPzxTrJt+cc7++P5WWSsj4yPZc/RQ6vG0NgAeGjV2L6QbOFtX5iJhQNJ+PLCgX2xegzRkyZ4vnlHf+xYlAWdRoUdi7Kwaow0n2PikBnhixBvLR4em4CBUX5YNSYery/OglpFWIPfunMg/NzVeOvOgXg8ux/0QTo8nt2PObx3LO6PKWmhGK4PYsmyD4/To63DypIW+T/6dGvo8Sn9kJ0WivtGxMFitSO3oqkbIy6//eTnqcGOxf3hJ7EIOIqzZEAl4V8W/H03w3SvTXqzVfV3AH0BnAOwH2SbqvhX0K1H0YbGi2F3bVVMJstOC8U3BVfQYRUlJ6fQLWmKd0ZH+Hl0czBT5+HAKD8UVDezLRfecUtDEGnSGB8merVQWerQ5pMTnd3XkxPUmVOdd47TEEx+THxSWNaGr1nfALo5oWkCnWOgAO8cpiHNVK42Jj6praTehC/OVLP7VAIQ7KVVDCu22kWn/Tk6+flwa/p82dq5StIf7/w/XmaQrzmHxEo6V47BBrQNuuWk06gwOjG4W7CCs2RPXi/qlObnKjstFF+erXYaQs0nmfLP31lYLR8qzj8bAN2O+UQ+PuyWd9zza4tuKdH6445Jhnyy4E3H9a8jv8ZW1SxRFIcAeAGAL4DvBUGovNYOr7c8Nkkvcx7zzjrqHH1kfByrNcE7Gj9aPhRatYCPlg+VtfHQmGgAwD3DIpjTfediYrHvXJwlu5Y6EjfP7HKY8vU4eMc9TcLbOC2J6ZGT3fU5b1mvvo0gg9W3xcooTqiD9SEplPjxyQl4QnLmPjE5XtbHzHSSiDczvQ9zmj8+OZ71d/FKC7I2fI2LV1pk1jnVgw/5fU76/LkZybIx8c7hjZLj+v7hESyQgA8Jvb0/+UNwe/9gWZIZDW+m4c/Pz0ySjYMPBX5pFkGJL83qh9XSc8pO9GfX8qG7/LzQpE7qSN86NxXbJGqRbfNSZAmHNFlw5ahohhhoH9tvl9db4cfHO+bp81s/MY4FWPBJnXzSH09L4+jwf3BUlCzBk1/fby4iyPDNRRnsOWyalsASB/ngCL5mS1fgQYZijRm+xgaPBpQS+fjvAr+lxgt1cs/ICGWUJHwfPMrgHde01o3BaPnF4bM3Q3Cvr/QGcUwFMBLArSBbVD8BOCiK4js3Xr2rC0UcvHWqFIJKxdFa5q2iYZu/YW04Jg1eLQSV9sdThwDoMSGP6uEsVJi38AF0ozjhx2TutDPL0921K6yUP09RGR/G66w/xz4cdfd2c1W0zikqo+JoTfOo4mqJg4768P05C6emc0F193NXo7nd6jSxznGtOAuxpYl6vN68Zc1b9RThatUC1CpC/UHnmw/zdnw2SuuXFz6ple8PQDf96bw4jknpPj4hjw+ZBaBo9VNntbNEvp8eGwclUbrPWX/8MUUlJPHxyi9CITeRjFx+jQTAyQBOApgjimKSKIrL/hNeGlRWONBM8JXVqDVErbcnJsfLEshOlzci8Yk9OF3eKLNw6T76kkFkD3nzzH4yK5u3LKkVuXJ0NKN34K/lqUx4q51atXcNCWe681Y/Hx7KW9w06Yv6A7YvyMBDkvX60OhorB1P9v3Xjo/DfbeQsNj7bolgyYUrRnRRjvCUHHx/NJGNhpI+NlHPqCzWT9RjuZREuHxkpAwZUVRGrfR1E/SYmkL8D1NTAmUJdzyKoomY1KrfPCNZNlcPSsjnwVFR2DiVPJuNUxNZexmhZMto6ZBw2ZjWSsdrx8XiHokQcVA4CVC4Z3iELJGTp1/hqUjWSXQvc9L6MH355zsugSQUjkvwZYmTOdkJTP+HRkezENyHpXYfHhuL52eS9fb8zCRZqDNdvzSk+ZU5yTLqEB6d8Mc0RHjLvDQWKsuPiUc7FLU8N7uLdJCvFsgf1za3Y+4bh1Hb3M4SEdeMjWVokQ//pgjB2G6VWfgU+VBqlIWDImTIgj/mfQ4UlTw2OUkxfPbnoIibvozrKz8rARAABEEYDmCRKIorb4xKvRcajsvTRdC9Xn6/n4ojDQXd5+YtRN7CpeK4f80nltH7nF17paVDMcmM7tXzuvFogfejKNE+8CSHPKpyOlcOe/o/hzpErQJs9i5qDX7F8FQkFEXxffJULgAU54LXg7YJQPFz/pk5+jh+rvD0M0DXsSP9ieN4eQTErxO+Pa1a1W1dKCUvOvpJKC0J7deR5NJZQilFflSnVWP02Lm/qJs+vK+FRwDOiCuVEg75tcdfy1OO8Ihi5/5L3dAQnwAJKCMcJd9ITwmCN6V38msgDgiCkCkIwguCIJQCeAbA+Wvt8HqL3g+YI5HxzUkPltGIUGuf0j48NDqaReDMSA5kRHSrRkVjxUhi1a4YGYVsKSooQTJw5mSGsHPZKUFYPpwm03VZkZTK4nfj5CR590ho555h4bI+qFU7KoaEVK6bECezSPk98Dulvf87h4RhsUQaOFlS7v4REYxG5MGRkbJjSv0xXu+DRyQkQkn3VoyMYqhlzdgYzOtPrO95/UNw56Aw2fjvGRYhGwdFYksG9ZX5A0bE+rBnAgBTk4MwV6IRmZsRjJnSHM5MCZLdR635SJ003xkhuFtCCHcPi2DW9/3DI2RzPymBdORObsPwKA8WNbUgK0SmJ51nWig0O9GfkSouGtBXtm4o9cm8jGA8Ij3LtBASPjw/KxSzpM9nZQQz3eek9ZGtpzukORwQRiKCVtwaJXs2K6Xnu3J0tIzEkhIhTpDWU0qIu4xUkffFUF/cQ2OiGSpZPjKSkVHyiaof3jsEWrWAD+8dwvxkK2+NZMiBJwrl/RZ84itNOHx2RhJLMuSRI+8P4YkLldAQX/7AGRqgSGThoAjmG3HmD6HCf37Tr3Hj5GoVABMALACwEEADgL8AWCuKYtR16VgQXAAcB1AlVRqMAfBnkNK0JwHc2VOGuhLJoawP4BdZpNcqPALqLdGeo67X0sbPFdrnv2ue/i/IrzE3/HNwJLF0FN7fwaM7R0Tj6M9bMSqOWeeP/DUXBrOV9euIWpVo5Xl0QVGgo98mf+Nk1gbvM1RCQ0p07Y5CEcXElBB8caa6V74YHoUofX5TiNxIxHEewFgA00RRHCGK4jYAtqtc/3NlNYAC7v/PA3hFFMV4AAYA9/SmEX90UV5PSwqQWfuUoC6rrysAErVD9+0XDwh1ekxRSZA0O9OSAlhuwqyUINlePbXaqSX/xGQ9o4vYMDVBZmUq3ZcSTDq5a0iYDAE8LFmZD98WI2uD5kpQhPPsjEQZmR/fB28NU6ud+gPWjI1h8/O4w320v0QyDVg2JEymA2/J08ir34yKYpY6nbeJ8b6yeeWfE48i6FgochgZrZPpzvdN/SDZif6YLCEOf+m+aUkBMkTJow96n47rg0cWvD78fTRSLEkyhmckBzL0MirGk0WCLRsSJmuDjjWELD3MywiWzTF/zBMlPiflxdD1dO+wcNkc8/4OPveERmPRa5+ZlihDC0GeriyykEbNrZ8YxyIM+TXE+y14REHpbnKyuyK7eCTDU6kr0ai8MCeV+TjouWdnpcoo35UQxWOTk1gEFo9OlJCKs89voo/rK1dDHLNAEMctAL4CQQNvi6IY84s7FYRwAO8C+AOA3wGYBlLjI0QURasgCMMA5IiiOPFq7SghDlcVyQR2lfZhHUenVQMd1q7f1yJaFRhdhsWhD7VAKs866iCAvKVtAFwA2NF7S5a3SHUaAUZL1520/rPStVdr312tgpn7ErkKXXW2VSLQcZV7/5vETa1C+1X+2KgAVn/8evxJclcTGhwqdD1T8dISskgvrRqdVivabYCbCyn5u0/KQAfIOozwc0dJoxkx/u643GxGhw3QugBatQtaOmxsjWRF+CK/qkmx3n11kxntNhFuLgK0ri5obrfCRQBsIjAmMQjZqSFY+/EZvDQnDdu/L2KUMuP6hbBa5WX1Juw7X4tADxfUt9kwMTkYUJHyvhNTgqFWqVjE17SMUKz84BR2LM6CWqW6qo+DpxEBcFXqkK/OVOPBD0/i9UX9MUmKLPtvlhtZc/zvoijeDiAJwA8AHgYQLAjCG4IgTLjWDiXZCuBRdH3XAgA0iaJI/5RXAghTulEQhOWCIBwXBOG4ra252+eeWhf2W+j2adfLosMKBHmQ4dPfvRWeqkLfx0P2mUqQ60D/BIjogms2AA4sG92Ep+rg22jvlL8O+JcGIGOWUDxPxV8nV0AtUXWoXYQeXxpBni6y31TcXJSu/r8tLsLVXweiw++ricRwA1cV4CfRuvg50LsIDi15ubnAh/jB4aMFXAXyvF0FG1xcyL0uLioIDgagTSQUO0DXbyre0uKjazAzwhceUkCCh0aFkfEEtY2MD2SBA2oVEOpL/DV067SkzsRqsn94rAKebgReebq5okKqOV7R0AZa8N1DS+6PCHBHuC/53oT7esipRURAJP8olo7lRak+uVPqEAEQyD835TpIbxIATaIofiCK4lR0lY9df60dSnkhtaIonuBPK3XtRJ8/iqI4UBTFgS4ePkgKgmzLgQ+VXSdt6wyLJJsgvx0TLWNX3SjRiGycniLbcqBwn24j3T88QrY9Q+tJb5iWgAclhzfdknl5Tgo2S1Qmm2f0k/XHb0WtkigihkS4Md34rQ7e8clvazwrhXHSrRfH7amXpdodL89JlulMt6Xo9s6q0fItMJ46hN5Ht2d+OyaahTTfOywcD44iuj84Kla2rbNNCulN7kMe53i9j0w3Xh9+Luj2G90C+v3EONnWCa8nv22jpCf/HPk26POh164ZGyPThz/m+7v7lu5rgdeBOr8iYsEAACAASURBVM8fGR8r2zqibdBAgQVZIXhBSk58YVYyHp1Arn10Qrxsbv8ghfE+ODISKgHYsag/ti8aINHLDMCrCwndy6sL+8uSUpePIvU76Ly+viANy0fGSA7zGFm49Y5FJBnw1dtJXY17R8Tg2Znku/DszBTcPTwGod5a3D08Bm/cQfp7447+2Ll4EEK9tXhnSRahJFkyAM/MIHXrn5mRgjfvIPXQ37xjADZJ9cU3zUxltcb/tHQgstNCsXJ0PFaN0SM7LRSrxujhqlYhJlAHV7UKQ2ICMDk1FENiuhzenRw9CS/OwniV5LakYLx55wDclnTT13E95GeH4/7iDgXhWQB3ArACcAPgDeDvACbiOmxVXc2pzDsfHesnXG3r0zGUlQ+7VKorzdNi8GG+/PmrOUAdRalqIf8ZHyrrLMxVaevKWRjzz9GNF6WkvN5snTnOo2NVPP6YVuRTau/n6P5Lgg6cjamngAY+lNiZno5z4RiODUDRcU1rlvAOb76KpFLSJh8eyycvOqtvQ8NtecoR3snNO+CB7kl9/JYT/zlPPwJ0r+PBO8dv0pNcH/lVwnGvp4ii+HtRFMNFUYwG8aF8J4riYgDfgxAoAsBSAL2ibe/jApmVyVdvc3Qkb56RKEvu4usu8G1QK3lMLKnDnZMtd3JvkkImN01LZIiCOnOfm5HMHJzPzZDTZfBJdNRqpeGaa8bGyCxZ3pFMQ2kfGR/H2qCfPzsjSVYhkE8A5K39VVLbNAHu0fFdyW3rJsQ50HMQq5UGFThz7K8ZG8PmaEysFwsbpXW9fzMqShaOy6MTfqx0TDTkdWH/UFlS42OTpMqBk/SM2HD9xDj2zKiej4yPk1nvPIKjTnOKANaOi5Vdyzvj+WMaFBEh7UguGdSX1W1/YGSkbN0sHUyOlw4OYwgmXvLc3z88Qhbyy9/HzyddnxRRrh4dLUsQ5BNK+UqTNHl0uTTmdRP0MkTCt0Ed7BunJrLwWL5WPV9vhK+LQhPy1k9KYGG8fH2QAZF+LGyWRwP0/JTUYBaCy3/O1/HgjylVySMTEliYLy83k/r+ffKrIw5Z54IwGiTEd6ogCLHoCsc9BeAOURSvut2uhDiUkrqoOFrEzixEx/87EuYBYMeU8I6KY/Iab+nxyYCOdc2VEuGURCkhjU8W5MMqr2btOyIVQQF98HIt6ORax+QozuqB/9Iw5V8zHPlq+l5ND5UA+Lh1JQs2ma2KNc4pRQsVR+TAk00CJOGQPj9H6hCeRoanKqFJe0GeJLHWMekPUK76RxEFTwTKoxNniIMndLzWan83RVn+zyEOXkRR/EHynUAUxWJRFAeLoqgXRXFeTy8NKlpAFirLV5mjhHf3c1XveEuPt7j5NihVBbXqt81Pk9FJ8EloNLSR+lnWjo+T1frmk/d4a5Emi1GL/YnJ8bKKhHxYKW+d09BNltQ4Jgb33CIl590it7Ipylg1qivZj1r1dw0Jl1nOPD0Jpeeg/oB7h4XLkByf6MYnGdK+qd9m7fg4hvYmxvs6DV1dJPkfqFU/J62PbMx837xVTxEMRREPjoyUoQXeb0GfL712zdgYGXrhw4b5MdHnEC7FCi8Z1FeGVHj/Gt83HSv19zw0OlqGWpVCfjdOS2BrgPrlHhodLaOi4asW8vQrlOKEjnP9RL0sdFdWf1xCcL8bG8vCY/kQXD45k6c1ochh28JMVk98SmowdBoVpqQGyyoH8gl+lKRx88x+LASXTxB0RqpIa5U/PZWgJeAmWeF/ivxbEccvFSXEwVNnKO379tYid2yT0nA47kEr7evz9csdCeucSW8t+Wv1QfTkx+nt/b+0nd4K/2xcbkDfjijrRiVZ9kZ42hZHKhrHz3kSR0pPokR944hIbtEHdaNjp+JI8+6Mpp/Su/M+Dh6pOCONBNDNp8LTvG+amdbrmuM3/RrXR/5PI47rJdRPMCBMg8n9iIU4uV8gpqUSC1Av7TOPTfCX+Q7ukqzCu4aEsYSrkdE6Zi3SZLl5/UNwexaxSG/PCpWhgRW3EsuYWufzMoIxMJJEBw2M9GTIYGyct8xPQCOIaEWsOenBmJshke5lhDhFHNTfQffOpyUFyMbEX8tbwNlSNp+v1N/YOG+Z1cv3R9sLFLr64HXj/Rq89U2fA60QvWxImEw3GtE1OcFPdp6iIC2di7Q+Mt/IyGgv6dl4yfSkyIYmDk5LCpDpxqMB+hxoYOo4vQ9GxZBrR8XIr6X6pIW4MAue6pYRqpahU37d8McUtVCKk/F6H6fj56lo6DxTupffjIqSIQCefoQiw3uGRTDEQefn8cl6GVKhBIUrR8eyBNUlg7oIQSnt/JqxsYz25JlpibKEWoooVt/WRXLI07XzffDJh9Rn8tSUeIZeeOqU/9feucdXVZ15/7tOTnJyJyEJIYSQKwkhEBIuBURFQAREighYkIqv2nrDsa2O1lvHmWqrU6mt1ru2tn3HqeP0Mu3baat9HUdn3o6deleKOihaRZAIyN1AyHr/2Hvt86ydcxLCLclhfT8f3Dvn7H3O3mcfz16/9TzP75G9xaVRoolhNJcPCgoEZVxDbivXDU6dHD1STnE4HMcjUbw0RUka8YLTgphiS7umKKbY2QH7DsT/vw8rblPgZ5aGccNzeeWDeGvbikEZFOXGeHnDTlrK89iwdQ9tew9QkpVGLBblg0/aGV4QozA7g9c+3BnsV5SVRvngXF7dsJ3m8kEU5aYHvdHrS/N44Nn1XHxyNVedNopn32rjJ//9Hk+90cbsxiHcs2JCUOj37SffCLZNT0vr0hjqd69vDIoJ5445tKI/WWSYSj3JneJwOBxdbhpgF5xuaffuAFvaNSXZdqVmeOhobhYHQk/ImwbAJ+2dvLzBuyG8vGEnbXu9d2zbe4Ad/vTtjr0d7AwVqXozavHSyXf96eN323ZbFZWmqO/jXXHLOqvQT2wrYyPyxEwx4aHiepInJiVuHDliaaaMRpXEA8+GmkHxqZoC4tNEhXjFJPjLEXahLcUqHvCdXJEZTGGNK4sGUyCGylysqQ65XupX6pZG49NAhhE5cV+joelQ5rdZLsuAav8tqvOhyj4liohPh+T652jO1ZzHiJz4+RmysKvTTblVEXHvJ0OBeGwwXgo0/tJ0g86gaxVngX+u5pzNoecRP/9iFZ+WMQyLxf2uSiLxc67Ks4/TFOUZYkC5d5koz4xPL8WIT58ZKnPtY6jMjT8uvxfm9QwZofeQ10x+9uFjayqNWN9N+X4mnbh1WHqQhmuOYV59oZVgIKfD5DSSmWozx7Z47BBrOkwG/C+faaepXydSm8+fXG4lacjpVVNQaV736/NHWs/L43ng3PFEFDxw7njuXDaOWFRx0/yRKODec1q4bl4DEQXXzWvg9qXNRCNw+9JmLjyxhomVhVx4Yk2Qsrt6STN1JTn87YIma1pLbpsRjdBSUWCpgpmNpTx47kRmNpYesmuuS/lNjJuqcjgGKEcqnTgnI8KefZ09JiOEE0HCfUzyYvFgvOwvD15w3CR2yMSVwqwoRbmxbnt6yAJAmaJbXZyTMP03UdDcuebauKkq7JGeHJ2Z0ZsZ6c6oybNG78b9taHYHkWHR4vV+aEAvAhyJgqemiK7ScNj1ramMG5aZXYX5TC9OtdSJyYdc+qILMuN1RyHoXVYunX+0j1Wnp9ZN9QVxkf69UVQ60ux2oJ4yqphWMxWcvL95H4h4WCpgqbSSJCa2jhEWZ9nWBmOHIy1rVR4UkWNCg0CK3PtczLpvRXZ8WM21BfZSkYqSvne4e9CbYG9nzwe+Rrh6zR1RJYVuJffU6kMTHB7mP+FCicuyMC8TKc2difmGC6eVpHU8dcoA/PdvGVBg5XmKwtjpWWO6Qxp1M2tC0fxncVeOvp3FjcFqenfOqvJCo6b9Wvn1AUFi3f4hbF3LB1rFRnKAkAz2r/pjNFBuq70tZJpvLL40JCsd4dTEYePUxwORwoQVgPd2aGE+6/LQtZwr3ZZfLizvaNL0WqyfvBSRYDXx8McU7iToUzjlSrCBLmTpeDKx2URYaL9wKkMiVMc2KM+mf5qRvgmFHhSVY71vBxFy9G5GXEaZtTkWaNeqSLMaNAoloWNxdZ7yNGiVBzh95hWmW2N3uVIXb5eeAQ8rTLbGunKtFJ5nEbBGFqHpVujXjnPbpSPoTwzucqQj4cVQHmmva1UYnL0HVYcjUOUdezJYkZhZTSqxFYqcluj2gwNxXbsSH6GUu2FP4vZdYMSKrmGYqzraz5P40Esr8HUEVlJ+40YRWG+0+dPLrdURrK+KGa0H++Nbvfr+PZZvvnlWY2B9YlROnd/rtnqQigLY43K+BtR+Gmuzeqzmiwrk2Qq4ttLm4lFFX/jxzjuWjbOSseVhX5ScZgU2+byQQl7jifqT37htOrgeacyjh5OcTgcKUCi+IPsM56sTzp4Ba5vt+1O2Bu+u+LLcL/0ZCrCFAPKGIfsZd6T/cj8sWU8sWZTt2rBFQv2Dqc4sDOi5EjVjNTNSU4oz7BGfaaIbuRgezQ8MpRWNL061xpZypG6yVYxU+jzGwZbMQn5HjIjJhzjaCqNWCNkuZ9UO2ZUa2gdlm49L99Dqggz8pf7JcsUC6ua+iKs45FqKJH6MAzPilt1DM+y40TyNcxxyP2kGky2bo7ZUJFtKw6pKMLnX51vx7XkZy/3M98LQ1j1yPeTKir8GUrVM73aLgyV3yfzuLnKs2rzrViFVJSy+NL0MDfX/0szqq3CQqs/uW8/Y9531ckjLPsVaYHyyHmepfsj500I9lvWOpRYVPHD8ydZtifStkRalZgCwNWLRgcqRHYAlPYkUnGYgsMvz6oLlIMs9JMxjESKIlFPcseRwSkOh+M4o6duhdL+fXpdMU++0cZpo0p4+q02qxvh2RPK+ekLG4IOiENy09i06wBDc9PYdwC27j3A4Kw0RhTl8vIH28mLpbGz/QCzGoqJRCL8fu1mZjcOYdP2vbz24U7GDsvjpPoS7v33d7jslBre3LSTp95oY9TQHN7YtJvVi8fyzpbdwfOjywZxxWMvcdeyVs4Y503byYK9f3vjo6AAcOao0m4L+VK10C8ZTnE4HI5e0VP1gvHKau/QPPmGV/j25BttHAjt+K+vbbQ6IG7e5RX6bd51gE/8YsBP9h6gKNdTmvqA99jHu/dZr7Pz0/3BcvTQfBQwemg+W/zCv798vBfwugzK59d8uINODWs+3BG8VrhA0BQA9lTI5wr9ekfK3ThkOuZwOx7MIOxAupkOyMYuhgvV/zGI+FTUIOxpm5LQJ1gatdNAZcFad8Swp07MoWcRT80cFuu6Xxb2e8iCPBPWTSNeiCeR7ycLI8NE8Tpu4S9lYZ18vzDhQj/5ecvzSw/tNzT0gHwN+VnY4W7v2M2u4dcMF1yGr3EktExGJnZ7XlnUKD/PcMFlBPuc5X5yui88/dZUGrGmSZMF2M00mLnmU0dkWYkZsgDQBNvNd0L6k4W9z6xeNwmcmaUD8/V+geD18+r4hp/e+42FDZzpH+f50yqJKLh2bgMXn1xNNAIXn1zNDfO8bW+Y10DD0DwKsqI0DM3jnnPGU1eSw48vnERdSQ7fW9bKaWPKeGjlRE4bU8ZFJ9Uwf6y3NNNWU2qKgikrWQAop60SFQNOGFGY8HlHYtxUlcPhOCh60zelO6fncFBduvxKN17jmis7ByZLx4Xu022TbWvWk3UnTNWgupuqCiFHp3ndb+pwHFGSqR1DMlUj7VXCFidhGxWpqOXj4cSEylxbncikiXAquExdl6nijUNUQjdpo7i/MHW45cZ8wRQvWH/BlOFc6gfmLz2pMgjim+SIVadUWam7qxd5Kb2rF422AuwmaH76mNKguE8Gx+tKcijJzaCuJKfHdFtpVZIoTfeS6bXB/i51t2ec4nA4HIdMT33Wk2HSgrsrHDQpu2bbcIfA372+Mdj2/151Srfvt+rRF7t0MkxlRdETTnGEkHPx4ZFfspHg0Xh/x+GRGVqmAsniXYniZ4ZwzEymI8vHw/Gv4Vm24pAdDsPFkK3D0q1UYak+EsU7pOIwvT3+7ox6y/BQFiqaNF6jem6cV8fXF4wC4OsLRllWJQ+vnEhZfoyHV07kzs+1eDGOCz4TON/KdF25rVEi23btC+ITUp1IqxKnKA4fpzgcjuOAQ1UGkkQxDpm6m8y2JCvd7j0ve6SHuxrevrSl27jF6ife7LavuSwWTGRD4vBwiiOEtKsOZ1UNTbczW2ThoLQmD1OWYVttSyvt8EivcYiyMmbkKFOOosNZN2BnHUlk5lKizCppeS7PQ45kw1lPkdDzPY3w5fx8ss8wUUZWss9YfobhEXhh6D0SfW75xLO7DCUR22JfEraKzyFuBxKl58/eUBDaT2Z5yWMLZ9uVZdhqQRYZyu+IGfmbc5tRk2fFJxJ1alwwqiihqaIsFlzld6pcdXJloAZMXGTx2CGWCWKyIsM7Fnu2JcZI87o5tdzoGyLeOG+kpRykxcndy8YBBKrnylNrWO1vu/qsJqsfujQrNH3JC7LSgg6A0lpExirM4zedMTpQE1Kd9ESyTCqXYZUYpzgcjhQlme16T38no64kh3V+0yXwTA737u9MaIgo7UdyYlFrP4hbpIT7oUuTQ9PP3KiacHwCumZHJVMnPSmOgzFSTKV4iFMcIaSteNigblSJncEiM7BkDn645mEwtpKRo8ywlcW0ymyreZEcTUrVUhYayhYruz5EHo+08a4OSZUC7NoUOaqXI9yw+qrMTf5ZhFVXBnadh1RU3Y2ySyIktP2oLbCzg8KNs4qwR/Xyc5OvN8S+vBSGjk1+9j01wJKNs+S1DiuVcAMoeZ1kzCFswNhQbJ+/jD9Io0hjE2OYOiLLstGRyiCRSjCf5YoJZVaNhdz2c/66Oc9zJpRZ2VEyViGNFL96Wl2wDcDdy8bxNd8E8Wun24pDxjBumOfFQYx1yveWNln90L88q47CrChfnlUX2Iwsn1QR9DNfvWh08LyMT0h1kihukcj4MBnJ4h4uHpIYpzgcDodFuoL9Or40hK1Khg/OZMPWTwNVkxmFvR2QFQU07D0AWWnePu2ie+z0+iL+tH4re/ZrstMVdUPyg/7jpfmxwIoE4PdrN5MXi7CzvZOW4fk8fsm0wBrktt+s5Qd/eJcLTqji2tMbu1iG/O61jVz2jy9y7znjOXFkCfc/8zaXTK8lNzNBNexxhlMcDocjIWmh5UGjQ0vzOqFfi/b2A6T56itNeTcN8G8eMe/HOSsW7eKqu3bjTlorPC3nLRO/ofL/zoh4b1KUG7OsQV58fxsAL76/LbFliALl/Yf7n3mbu59ex/3PvH3QH4MjOSl345DTPeFpnbCVhUQWb4U3y8AOUMtAamhGgkLsKRA5lSMDwuEgbLGyp1bkFIicRgkfWwy7r7dcl8cRDhZnYgegu7MOCSMtN+QUVqJxnAxWy3X5uYSng6LY02/yB1BORYW/vFkktjJJp2vPcbCTA+TxdJcokEHyXuXy/cLTdlV59vslm7YLFwA2FNvuyDIgLqewjKWI+XzmjCxgpZ8+u3JyuRVgN5Yh5q2mV+da6bOrZlQBsGpGldV//K9ne+vGsuSbZ47m5s96sYObP9vArb7NyK0LG3jwXC/g/eC5E7jtTG/a6q+mVxKLKh46dwLXzK0nFlVcM7eeby8dR2FWlG8vHcffLmgK+ovfcmYzEysLecBPu/3a/NHW9NQ9yz1LknuWj0/ohHtiXQmXnlLLiXUl1hSY4/BxU1UOh+OQyMmI0N7R2WPP8dc2fEJ7hw6C8PPHlvHie1t77ABo0m1bKgp4/r1t3fYZh67BcRnY/sVLG4L3uGfF+L770PoJbqoqhBypHi0Xfjni7s0H2J2R3vE86xpWX/2dgzFEDCcYRLED/lJ9ySSF8H7hoj+5LvuphPt/zKrNt3rMyHWjPsz3eHJFptUTRKbjynWTCmxU/RUzqq3+5Fee6vUyv/LUGha3+AaMLUOCjoNLxpUSUfD5ycO5fo5viDinjqtPq6csP8bVp9WzcFwZhVlRFo4rY9igGLGoYtX0KupKcrh+3ihOH1NKTkaE08eUWjYiJog9paYoSJ+V6kQWADoOn2OuOJRSFcCPgaF4cbMHtdZ3KqUGA/8EVAHvAmdrrbd191pOcTgcfcuhFBaGlcqcprJADby5aUdgI7JlVzvb9nYE6bgyRTesVIyK6KkPucNjICqODuAqrXUjMAVYpZQaDVwLPKW1Hgk85f/tcBz3yJiLjEVJ5RtW16VRO6YiOzGG059LInYcJVHHyWmV2YFqMccwr76QL57gxQy+eEKFVSwo03iN/buxh/fs2KsAuHx6FUv89OAlrUOD1N0b5tXzw/MnEYsqbls4KlAZsse5TONNZI8u03Gl/Yjj8OnzGIdS6pfA3f6/U7TWG5VSZcC/a627HSY4xeFwDHxMP/Nwn/Tzp9Vw99PryMnwHgsbIso4iulbnswe3akPm8NVHH06ta6UqgJagT8CpVrrjQD+zWNIHx6aw9FvyAV2+csO4FM89fGp2KY8EzaIB8oyYPs+2IMXQyqIwYftXtFqejq8tyu+bWkUhpZEeWVjB+PKonRqzWubDgQFtGZ9cFYWz6zfFRzP/IbBZGZE+dlrm1k8dgjF+TEe+H/vc/G0Crbv2c9jL21iWetQDnRq/vmVjxg5GP5nq1dYmJsZ5ZbfruPGeXWUD8ri0sde43tnjyU3K4OVj7zA/Staaa30JMrsxhL+1yN/4scXfIb9BzpZ+sB/8egXJlOcmxnUaRTkZHD/5yfQODSP597ZQnP5ILJj0UB9TBhRyPqPdx9UMaCjZ/pMcSilcoFngG9orX+ulPpEa10gnt+mtQ5nu6KUugi4CCAtv2TC8EsfOWbH7HA4jgxF2VG27OmgKDtKflYG67fsoboom4w0eHPzHhqGZPN/rpjOs2+1sevT/Vz5+CvctbwFgCt+8jJ3LW/hjHHlweuZnuE/e+EDfrtmU7f2JImsQ2TPcSDl+48PxBgHSql04GfAo1rrn/sPf+RPUeEvNyfaV2v9oNZ6otZ6Ylp2oux8h8NxrBiUoaylwW/yFyzDGNPAfR2dnDTSUxYnjSzm7bY9ALzdtico6ntizUd0An/+cAd//nBHsC4x285pGprQPr0n6xBZQOj6j/fMMb9xKKUU8H1grdb6DvHUr4Dz/PXzgF8eyuvL4ryw51SvK2gFMgUzkatq+P0NiRxqExXZHakLcbC9s/sCmYJ6yFXNfUx3n6ss1AyfVwZ2kFv6b8niw/D3Jw/bq8wU782qzbcKBxP1KpdFfzJYbVxqjbyfOiLL8rKSfcZn1HhvPqMmL3jcdAj88owqVi9tBmD10mbrNe49pxWAe89p5fZFXgGgKRy8dWGD1QHwgmnVlOXHuGBaNQ+d6+330LmtQVHfJdOrKcyKsqi1nLMnVlCWH+PsiXYhn7kxnN7sZVgV5maQEY1w6uhSMqIRaz0RvbnJOPomHfdE4D+A14hb31yPF+d4HBgB/AVYqrXe2t1rueC4w3HkkcFqaRdiHG0lJnBtlgbZ4W/Hp/u7PJcsyF2an9mlU19JrteHXHYFnFhZyE8vPeGofxapyoCbqtJa/6fWWmmtm7XWLf6/32itt2itZ2mtR/rLbm8ayZCWG8Wq+217gwotkxG28pCj7N7Yekh6s180tDwaHGlVk9XzJgdFby93sh4cRwt5HaW9jHy8InQw6dhWNVJxyGLX8H5hxSEL+YyDtLF6md8w2OrzcbVvLXL17FrL1uQSv6eHsUuZ3zCYr8zyiv6+MqvGUhxXzKgC4IoZVVzhFwCa17pyVrWlOK6aXUdEwVWz66wUW1PA973lLRRmRblvxXhuXTSGwqwoty4aw+btn7Lkvj+weXs8K6C3/TNcv41Do8/TcQ8Hpzgcjv5Dsv4fibYbmqTnuFQfU2qKuPvpdUysLOT597Zx+Yw61n+8O1AkH+34tIv66G3/jFTtt9ETA05xHG3yQsujTaIPUJrdydHkoc7r9+e4hePgkddfxjtkf5dw35CwAaOMdxhDxPLMrvG8hmIsxSHXjTIw77uwsTiIPyxqKrH6k8v+NuZxY5EyqzbfKvq7eranPq6eXRP03rh4WkXQ38N0N/z6gnrLcuTeFa1EFNy7opXVS5opy4+xeklzYC9y3meGBQWA0p5EbmsK/JrLB3UxOwwjiwETmSM6esYpDofDcURIpjjCdiRhy5GWisIuKkPai5jX684QEejSczyZgkjWt9wpjoPHDWIdjj5Gqo9wvCWcgSazsaS6Dsc4yjNtdSIzsOpDg+vqfAJb9tl1g6w4iuxUaOIgRumsmFBmKY6zfGuRs8YOsVSLsSUxfdGvmFHNtb7iuHZOHRf6r3Hh1OGcUl9ENAKn1BcFHQDvWtpEYVaUH1/wGSsGcsn0Wi6f4S1Nf/GLTqqiqiibxqF5SeMX0opEGiEmwsVAEuMUh8Ph6DekR2B/p7ecUFnIc+u3UTk4i/e27uVvzhjFv7z0Ia9u2EFzeT53LWtl+UPP8ZMvTuHx59/n3mfeoSQnnbbd+2kuz+eyGXWsevQl7lnRytwxZcF7/O71jcHjr77/Cfc+8w4Xn1zNpKqiLkV//SEGIosTj1RBolMcDocjZdjfGV8+t94zx35v614Avv3kW3T6k2CdaJY/9Bwbd7Sz/KHnGD0snwiQmSEiiBq09x8b8bjZD03Cor/+UNPRHwsS3Y3D4UgBEjW3jImlnNYKdzbMxA7Ay+6TpotmdT7UhIwaaguwprJkgF0WDpopKpP+e9lJI6wiw5vmez09bpo/0lr/3tKmYBuA1Wc18cCKidSV5PDAiol8/7yJ5GRE+P55EzmtqYwHV07ksS9OZWJlIQ+vnMSJI0u47JQ6ThxZwrZd+1j16Its27WPydVFzBtTxuTqomC/v5pVH9wg5PRUT4WDx4L+cPMK46aqHA7HMSVcLGgKCwuzouzZf4D2Dk0scyRnNQAAD+pJREFUqqgozGZd2+4gOF6YFeX2pS0H7XibrAOgDKr3tF+qBszdVJXDkUL0VAwpe7zLYtdwj/MC7DRf2TnQuN4a6grt1F7z/NihaVYBoEmxNQWJM2ryrF7lV83yCv2umlVtBcdNOq5J7f3u0rFc46fuXjO7hruWjUMBdy0bx3eXeB36vrtkDDedMQoF3DCvjmgEHlo5wQpmLxlfTll+jCXjy4MU22279gVqQabaXj9vVNBFUAbVDVJl9McRfn/DKQ6Hw3FQJLIcMd35YlHF/gM6YTfAcHqutCHJyYhQNigr6Pq3u72jS2GgsT4Jq4Xn3tnSJY1XpuPCwffjOB5UhsQpjhAD1TzPcfwi7WzCiiODeGxgMLZNiknBrcjuWgBYnukpCfCWsud46zA7IlIzyE7XNTGJCeUZVpru4havcLDSb4y+qKmEi6Z5iuOiaSO4YIqXVnvBlOGWErl2jjeyl5YjMh33rmUt5GREuGtZC99aPAYFfGvxGB79wmRyMiLct3xcUPRn0m5XTqm07EdMiu3Vp9UHikSqE6kypLpI1DnQ0TNOcTgcjiOONErs1F0VCMSLBU8fG+85/uJ7WwPFcfOZY7nkH16gpaKA59/b1kVxSPsRY4g4p2ko//raRqsoMKwypLoAunQOdIqjZ1JOcTgcqUQudpZTrnhcmhyGFUdYRcgYh1EUhnFlUSs7Sq5LqxKznzmGZa1DrQLAZEaJXzvdy5QyhYXXzqkNVMi1c2pZNnEYClg2cVhQ9Hf/58dTOTiLvFgaq6ZXBYpDxjVk3MKoi6tPqw+K+6Q6kcgYhomDXDitOmFWVbICwOO9MNApDofDcVSJEO+fkIiMCOzr9JbT6op5+q2PmVFfzOsbttO2e38QI5k+sohte/bx6oadNJfnMbW2mAeeXc/FJ1ejteLB/3iHOaNLeeqNzV3iGkZRXDK9ltzM+F1WFgOaIkGpSDo6OxMWEQ70mMiA7jnucDhSn0R29+ZmEgFyYmns23uAnFga67d6HQDXb93DkPxM2nbvJ6LggIY3Nu0k06+n2L5nfzzirkH5b1IxONtSE0Bw07j76XUAdnA8QZGgVCT/tvajhEWEx3vmlZuqcjiOM8Lh37IMu3uhTM01vTdqC7qm/NYXwZyR3gZzRhZYKbhyfZm/bt5jfsNgvupPVX11Ti1XnuqtX3lqLTcvaEQBNy9o5Mb5o7w+Had6qbu3LWriljObUMAtZzZxyfQ65o8t45LpdSyf5HUGXNA8lF+8tIHdn3awv6OT9R/vZn9HpzVtJd1xZZFgImY2lvLguROZ2Wiriv5QGNiXuKkqh8PRb5DFgICV/isfCxcD3v/M2zz/3rZg//ljvZtVd066ydxxB/o01MHgguMOh6PfIVOFh4b8UMoz4ym9lble7xDwlgvGeA67C8YMCdJ/TSrxFTOr+dZZng3Jt85qIidD0ak1ORmKr80fRSyq+ObCxiCQfv4JI4hG4PwTRliKQ66boHrj0LyEPTqkOnHEcYrD4XAMGKQi2dneEaT8VhXlsK5td2BnMn9sGX9Y1xZsu2JKVULFYdZll0GpQnoqHByoOMXhcDj6HbILZrgbZ1mGbbrYOMSLbDcOUUyr9KTKtMrsoFOhUSRXzarmmtO8eMg1p9Vy+6JGAG5f1MhtZ40hGoHbhOJ4/OKpFGZFefziqcxuLCEWVcxuLGH5pArqSnJYPqkiKAy883MtQRqvDHxLdZIoBfd4Tct1isPhcPQpB9s5MKJA6/i2BUJ9FOXGuiiOe1aMD/Zt/bsngm1PqCsJYh9mm2RxjZ66BQ7UeIhTHA6Ho88wmVbhjCupKMLPNRR7RYfgLb80owqAL82osqzZv+qrC2PRfv3cOu5Y7KmMOxY38s2F3vo3FzZy34rxFGZFeXjlBCZWFnLTGaOt9zT2JY9+YbLVRdDEMCaMKEyYXiu7BSZKwT0WPcv7o6pxdRwOh+OQaeu0l4adYrkz9NybHwN4weZXNnbwysZ3Afju0+8G2/xiTRtqjde46Ol3vFf75u/WUVPsVbLf8+xf2Ljda/D01z9fw/nTati2t4N/+OMHvPz+J7y6YTunDop3HvlwezvtHZoPt7dz/zNvs21vB9f94vXAHBFIGMN44S/beGLNJha1lnPq6NIuquK5d7Zw/zNv01JRcNQUh2nk1J9UjVMcDofjmJKL3SBK1oIY6/X5DYM5x6//MNYqi5tLOW+K19TpvCnl3LLA+6G/ZUFDEMNoHZ5DR6cmjQPWSN3Yl1QOzuLOz7VQV5LDnZ9rCRTFyimVCW1GpMpINPI/FoWA/bHY0MU4HA7HgCQjotjXqcmIKLJjaXwSsnz/7tnNfOXxV/nO2c188zdr2bxrP0Ny0/n6wrFc9o8vcu85Xnzjsn98kS+eWM3D//ku96xoBUhJmxGJi3E4HI7jhvz0+DKqvEFvVGnm+j/kY8o8efKVWbU8ueYjNPDkmo8oyfemrUryM0GB8v5jrQfWIkl6lffHkX9f4W4cDofjmCOD6lV+JL0qz+4FMrnC+7E3P1LTq3O5em49AFfPrefSU7yOg5eeUs2cJq9wcNX0Gi6fUceFJ9Vx+cw6cjIiXD6zjhtP9+xLbjx9FDNHlfLAuROYOaqUscMGUV2czfJJIwJrEWkz4txxE+OmqhwOx4DHpO4qIC2iuP/zE7jtt2uDzoJbdrUH6bgv3TQn2G/JfX8Iugj+9NITurxuot4d4fWBOG2VclNVSqm5Sqk3lVLrlFLX9vXxOByOo4ssFhzkrw8ibltiqMzFSteV/dCvOKUKgHMnDaMkN4O6khxuXjiaiIKbF462Cgc3b/+UJff9gc3bP+VLM2tQwMUnjgisRaSakOm2ifp49DYN91CUSn9UN/1KcSil0oC3gNnAB8CfgOVa6z8n2t4pDofDkYhw//JNO9qDwsEJvr3IxMpC1m7czu59nUHHwnChHyRWFocaKD+U/Y5GUP5wFUd/u3FMBf5Waz3H//s6AK31rYm2dzcOh2NgUpkL7+3ylkMKYvzpg3YmDY+RnZ7OM+t3Mb06l4LMTH659mOKgC14yqKlejC3PvE21/m27GZ9RGE2lz72GjcvqOdHz23gR+d/hv0HOln+0HP85ItTeH/rLlY+8gI/Pn8CDUMLgqyqj3d9ytIH/osfnT+Jf39rC5dMryUjGuHZt9qCILhZlxbq+zo6Ez7eE4ey36G+V3ek2o1jCTBXa/0F/+9zgcla68vFNhcBF/l/jgFeP+YHeuwoBj7u64M4irjzG7ik8rlB6p9fg9Y6bCN20PS3yvFEzcKsO5vW+kHgQQCl1POHc9fs77jzG9ik8vml8rnB8XF+h7N/fwuOfwBUiL+HAx/20bE4HA6HIwH97cbxJ2CkUqpaKZUBLAN+1cfH5HA4HA5Bv5qq0lp3KKUuB54A0oAfaK3XdLPLg8fmyPoMd34Dm1Q+v1Q+N3Dn1y39KjjucDgcjv5Pf5uqcjgcDkc/x904HA6Hw9ErBuyNI5WsSZRSFUqpp5VSa5VSa5RSX/IfH6yU+r1S6n/8ZWFfH+vhoJRKU0q9pJT6tf93tVLqj/75/ZOfEDEgUUoVKKV+qpR6w7+OU1Pp+imlvuJ/N19XSv1EKZU5kK+fUuoHSqnNSqnXxWMJr5fyuMv/rXlVKTU++Sv3D5Kc3+3+9/NVpdQvlFIF4rnr/PN7Uyk1J/GrxhmQNw7fmuQeYB4wGliulBrd/V79mg7gKq11IzAFWOWfz7XAU1rrkcBT/t8DmS8Ba8Xffw98xz+/bcCFfXJUR4Y7gd9prUcB4/DOMyWun1KqHLgCmKi1HoOXuLKMgX39fgjMDT2W7HrNA0b6/y4C7jtGx3g4/JCu5/d7YIzWuhnP2uk6AP+3ZhnQ5O9zr/8bm5QBeeMAPgOs01q/o7XeBzwGLOzjYzpktNYbtdYv+us78X50yvHO6Uf+Zj8CzuybIzx8lFLDgfnAw/7fCpgJ/NTfZMCen1IqHzgZ+D6A1nqf1voTUuj64WVgZimlokA2sJEBfP201s8CW0MPJ7teC4Efa4/ngAKlVBn9mETnp7V+Umttul09h1cnB975Paa1btdarwfW4f3GJmWg3jjKgffF3x/4jw14lFJVQCvwR6BUa70RvJsLMKTvjuyw+S5wDWAsPouAT8QXeSBfwxqgDXjEn4p7WCmVQ4pcP631BmA18Be8G8Z24AVS5/oZkl2vVPy9uQD4rb/e6/MbqDeOHq1JBiJKqVzgZ8CXtdY7+vp4jhRKqTOAzVrrF+TDCTYdqNcwCowH7tNatwK7GaDTUonw5/oXAtXAMCAHb/omzEC9fj2RSt9VlFI34E2PP2oeSrBZt+c3UG8cKWdNopRKx7tpPKq1/rn/8EdGEvvLzX11fIfJNOCzSql38aYVZ+IpkAJ/6gMG9jX8APhAa/1H/++f4t1IUuX6nQqs11q3aa33Az8HTiB1rp8h2fVKmd8bpdR5wBnACh0v4uv1+Q3UG0dKWZP48/3fB9Zqre8QT/0KOM9fPw/45bE+tiOB1vo6rfVwrXUV3rX6N631CuBpYIm/2UA+v03A+0qpBv+hWcCfSZHrhzdFNUUple1/V835pcT1EyS7Xr8CVvrZVVOA7WZKayChlJoLfBX4rNZ6j3jqV8AypVRMKVWNlwTw392+mNZ6QP4DTsfLDHgbuKGvj+cwz+VEPGn4KvCy/+90vDjAU8D/+MvBfX2sR+BcTwF+7a/X+F/QdcA/A7G+Pr7DOK8W4Hn/Gv4LUJhK1w/4O+ANvDYG/xuIDeTrB/wEL16zH2/EfWGy64U3lXOP/1vzGl52WZ+fwyGc3zq8WIb5jblfbH+Df35vAvN6en1nOeJwOByOXjFQp6ocDofD0Ue4G4fD4XA4eoW7cTgcDoejV7gbh8PhcDh6hbtxOBwOh6NXuBuHw3GIKKUWKaW0UmpUXx+Lw3EscTcOh+PQWQ78J15Ro8Nx3OBuHA7HIeD7ik3DK6xa5j8WUUrd6/et+LVS6jdKqSX+cxOUUs8opV5QSj3R391VHY7ucDcOh+PQOBOv/8ZbwFa/uc9ZQBUwFvgCMBUCH7LvAUu01hOAHwDf6IuDdjiOBNGeN3E4HAlYjmfUCJ5x43IgHfhnrXUnsEkp9bT/fAMwBvi9Z/VEGp4dhMMxIHE3DoejlyilivAcfscopTTejUADv0i2C7BGaz31GB2iw3FUcVNVDkfvWYLXEa5Sa12lta4A1gMfA4v9WEcpnqEjeMZxJUqpYOpKKdXUFwfucBwJ3I3D4eg9y+mqLn6G1+ToAzwH2Qfwujhu11574yXA3yulXsFzJj3h2B2uw3Fkce64DscRRCmVq7Xe5U9n/TcwTXv9OhyOlMHFOByOI8uvlVIFQAZws7tpOFIRpzgcDofD0StcjMPhcDgcvcLdOBwOh8PRK9yNw+FwOBy9wt04HA6Hw9Er3I3D4XA4HL3i/wM3xpHGT5prywAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ec9d9be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['Age'], data['AwaitingTime'], s=0.5)\n",
    "plt.title('Scatter plot of Age and Awaiting Time')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Awaiting Time')\n",
    "plt.xlim(0, 120)\n",
    "plt.ylim(0, 120)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                Age  AwaitingTime\n",
      "Age           1.000        -0.004\n",
      "AwaitingTime -0.004         1.000\n"
     ]
    }
   ],
   "source": [
    "pd.set_option('display.width', 100)\n",
    "pd.set_option('precision', 3)\n",
    "correlations = data[['Age', 'AwaitingTime']].corr(method='pearson')\n",
    "print(correlations)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "说明年龄和等待时间之间几乎没有关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "短信提醒发送数量对状态的影响"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Frequency')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Q1nsFqUPPJ3LZq0nP90aR/ov4O/BN3g68ziFtj0WkXsU3kPoIlMwChpBaRy4DTiw/efNyfpvLnaT0aOBhUoesSt5FupC+QGp6nEmFZs4Ky5hP+s//B7k+HyO9jv1qnv430s36j3n8hbxef44OfJdD3v4nkZ6TP0e68M2h+ut015Mu7otJx0OlG80Nedqi/Lm0SlkXk/qrrCIFQL9pR71vIzUH30F6zHFHW+etUFaL25zUMnOBUvPplyoUMYT0HH0N6Rn9jyPizjYs93ZS/5Jfk/57ezfpGC75C+k8K7VuPErq99GR1g4i4hHSuTApL281qWNftX19BakPyNOkc7xSK8RNpLfc5pL24fgWqnATqT9WqUPlxyPitcL0Vq8jrcnnxyWk/bGAdL6vr4rHc0TMIXUU/CFpnRaSHmm0ta7re03cHPgtqe/gIlLryfFVljUnIio9Ll9Nug/MkvQi6b7wcK5TW63PvWV9XEN65PFX0ltS5dePU0mP2UtvJE0hdVuo5gDSdlhDWp/PRcQTFfK1dG1v7zKLvg+cKGmlpKtayljqjVoXki4idZr6ZGt5N3A9DiNt+EH52e2GWMa1pE6MF3RyuWNIHXoO7cxyG1VuAm8GPhERMzow/2LS9vyfzq6bdS6lx5XPA0OqXGBbmz/yvAs7qT4DSW8pvCsH1GZWQbf/yvTcNP050lsTGyTosA1L6dHetrm5/2uk5vf2NLVag5D0sfzoZAtSn4CHSK1XdZUD3i+Q3lxz0GHWgm4deEjag/Qf04603Avaurb3kd5aKj1mOKGFvjrW2EaSHkcuJT0iGhX1bLblrU61L5C+R2V9+uqYdQt1fdRiZmZm3Uu3bvEwMzOz2nLgYWZmZjXTWL9o1w317ds3Bg0aVO9qmJk1lPvuu+/ZiOjXek6rNQceXdygQYOYM2dOvathZtZQJLXnJzmshvyoxczMzGrGgYeZmZnVjAMPMzMzqxn38TAzs3W89tprNDc38/LLL9e7Ki3q1asXTU1NbLzxxvWuirWRAw8zM1tHc3MzW221FYMGDSL9cHHXExE899xzNDc3M3jw4HpXx9rIj1rMzGwdL7/8Mn369OmyQQeAJPr06dPlW2VsbQ48zMysoq4cdJQ0Qh1tbQ48zMysXS677DKGDh3KXnvtxT777MOsWbO48soreemll1qdt6357J3LfTzM3iku2qbeNdiwLlpV7xoYcPfdd3PzzTdz//33s+mmm/Lss8/y6quvcvLJJ/PJT36SzTffvMX5r7zyyjbls3cut3iYmVmbLVu2jL59+7LpppsC0LdvX6ZMmcLSpUs54ogjOOKIIwA488wzGT58OEOHDuXCCy8E4Kqrrlon35ZbbvlW2VOmTGHMmDEA/OpXv2LYsGHsvffeHHbYYTVcQ9vQHHiYmVmbHXXUUSxZsoTddtuNz372s8ycOZNzzz2XnXbaiRkzZjBjxgwgPY6ZM2cODz74IDNnzuTBBx+smK+aSy65hGnTpvHXv/6VqVOn1mLVrEYceJiZWZttueWW3HfffYwbN45+/fpx8sknc+21166Tb/Lkyey3337su+++PPLIIzz66KPtWs4hhxzCmDFjuOaaa3jjjTc6qfbWFbiPh5mZtUuPHj04/PDDOfzww3nve9/LxIkT15r+xBNP8J3vfId7772X3r17M2bMmKqvvBbfSinmufrqq5k1axa33HIL++yzD3PnzqVPnz4bZoWsptziYWZmbTZ//nwWLFjw1vjcuXPZeeed2WqrrVi9ejUAL7zwAltssQXbbLMNTz/9NLfddttb+Yv5AHbYYQfmzZvHm2++yW9/+9u30h9//HEOOuggLrnkEvr27cuSJUtqsHZWC27xMDOzNluzZg3nnHMOzz//PD179mTXXXdl3Lhx3HjjjRxzzDHsuOOOzJgxg3333ZehQ4eyyy67cMghh7w1/9ixY9fKd/nll3PccccxYMAAhg0bxpo1awD48pe/zIIFC4gIjjzySPbee+96rbJ1MkVEvetgLRg+fHjMmTOn3tWwRuDXaa0TzZs3jz322KPe1WiTSnWVdF9EDK9TlawFftRiZmZmNdPtAg9JEyQ9I+nhsvRzJM2X9IikbxXSz5e0ME87upA+IqctlHReIX2wpFmSFkj6paRNcvqmeXxhnj5ow6+tmZlZ19LtAg/gWmBEMUHSEcBIYK+IGAp8J6fvCYwChuZ5fiyph6QewI+AY4A9gVNyXoBvAldExBBgJXBGTj8DWBkRuwJX5HxmZmbdSrcLPCLiLmBFWfKZwOUR8UrO80xOHwlMiohXIuIJYCFwYP4sjIhFEfEqMAkYqfRe2IeAKXn+icAJhbJK75xNAY6Uf93IzMy6mW4XeFSxG/CB/AhkpqQDcnp/oPgOV3NOq5beB3g+Il4vS1+rrDx9Vc5vZmbWbfh12qQn0Bs4GDgAmCxpF6BSi0RQOWCLFvLTyrS1SBoLjAUYOHBgixU3MzNrJG7xSJqB30QyG3gT6JvTBxTyNQFLW0h/FthWUs+ydIrz5OnbsO4jHwAiYlxEDI+I4f369euE1TMza0y///3v2X333dl11125/PLL610d6wRu8Uh+R+qbcaek3YBNSEHEVOAGSd8DdgKGALNJrRdDJA0GniJ1QP3niAhJM4ATSf0+RgM35WVMzeN35+l3hL9ExcwaxKDzbunU8hZf/tFW87zxxhucddZZTJ8+naamJg444ACOP/549txzz1bnta6r27V4SLqRdPPfXVKzpDOACcAu+RXbScDo3PrxCDAZeBT4PXBWRLyR+2icDUwD5gGTc16ArwJfkLSQ1IdjfE4fD/TJ6V8A3noF18zM1jV79mx23XVXdtllFzbZZBNGjRrFTTfd1PqM1qV1uxaPiDilyqRPVsl/GXBZhfRbgVsrpC8ivfVSnv4ycFK7Kmtm1o099dRTDBjw9lPtpqYmZs2aVccaWWfodi0eZmbWGCo9jfa3EDQ+Bx5mZtYlNTU1rfWrtM3Nzey00051rJF1BgceZmbWJR1wwAEsWLCAJ554gldffZVJkyZx/PHH17tatp66XR8PMzNrDD179uSHP/whRx99NG+88Qann346Q4cOrXe1bD058DAzs1a15fXXDeHYY4/l2GOPrcuybcPwoxYzMzOrGQceZmZmVjMOPMzMzKxmHHiYmZlZzTjwMDMzs5px4GFmZmY148DDzMy6pNNPP53tt9+eYcOG1bsq1on8PR5mZta6i7bp5PJWtZplzJgxnH322Zx66qmdu2yrK7d4mJlZl3TYYYex3Xbb1bsa1skceJiZmVnNOPAwMzOzmul2gYekCZKekfRwhWlfkhSS+uZxSbpK0kJJD0rar5B3tKQF+TO6kL6/pIfyPFdJUk7fTtL0nH+6pN61WF8zM7OupNsFHsC1wIjyREkDgI8ATxaSjwGG5M9Y4Cc573bAhcBBwIHAhYVA4ic5b2m+0rLOA26PiCHA7XnczMysW+l2gUdE3AWsqDDpCuArQBTSRgLXRXIPsK2kHYGjgekRsSIiVgLTgRF52tYRcXdEBHAdcEKhrIl5eGIh3czMKjjllFN43/vex/z582lqamL8+PH1rpJ1Ar9OC0g6HngqIv6an4yU9AeWFMabc1pL6c0V0gF2iIhlABGxTNL2nboSZmYbUhtef+1sN954Y82XaRtetw88JG0OfB04qtLkCmnRgfT21mks6XENAwcObO/sZmZmXVa3e9RSwbuBwcBfJS0GmoD7Jb2L1GIxoJC3CVjaSnpThXSAp/OjGPLfZ6pVKCLGRcTwiBjer1+/9Vg1MzOzrqXbBx4R8VBEbB8RgyJiECl42C8i/g5MBU7Nb7ccDKzKj0umAUdJ6p07lR4FTMvTVks6OL/NcipwU17UVKD09svoQrqZmVm30e0CD0k3AncDu0tqlnRGC9lvBRYBC4FrgM8CRMQK4BvAvflzSU4DOBP4WZ7nceC2nH458BFJC0hvz1zemetlZtbZUh/5rq0R6mhr63Z9PCLilFamDyoMB3BWlXwTgAkV0ucA6/yiUUQ8BxzZzuqamdVFr169eO655+jTpw9lne67jIjgueeeo1evXvWuirVDtws8zMysdU1NTTQ3N7N8+fJ6V6VFvXr1oqmpqfWM1mU48DAzs3VsvPHGDB48uN7VsHegbtfHw8zMzOrHgYeZmZnVjAMPMzMzqxkHHmZmZlYzDjzMzMysZhx4mJmZWc34dVpb20Xb1LsGG04dfl3TzMzW5hYPMzMzqxkHHmZmZlYzDjzMzMysZhx4mJmZWc048DAzM7OaceBhZmZmNdPtAg9JEyQ9I+nhQtq3JT0m6UFJv5W0bWHa+ZIWSpov6ehC+oictlDSeYX0wZJmSVog6ZeSNsnpm+bxhXn6oNqssZmZWdfR7QIP4FpgRFnadGBYROwF/A04H0DSnsAoYGie58eSekjqAfwIOAbYEzgl5wX4JnBFRAwBVgJn5PQzgJURsStwRc5nZmbWrXS7wCMi7gJWlKX9ISJez6P3AE15eCQwKSJeiYgngIXAgfmzMCIWRcSrwCRgpCQBHwKm5PknAicUypqYh6cAR+b8ZmZm3Ua3Czza4HTgtjzcH1hSmNac06ql9wGeLwQxpfS1ysrTV+X8ZmZm3YYDjwJJXwdeB35RSqqQLTqQ3lJZleoxVtIcSXOWL1/ecqXNzMwaiAOPTNJo4DjgExFRCgiagQGFbE3A0hbSnwW2ldSzLH2tsvL0bSh75FMSEeMiYnhEDO/Xr9/6rpqZmVmX4cCD9IYK8FXg+Ih4qTBpKjAqv5EyGBgCzAbuBYbkN1g2IXVAnZoDlhnAiXn+0cBNhbJG5+ETgTsKAY6ZmVm30O1+nVbSjcDhQF9JzcCFpLdYNgWm5/6e90TEZyLiEUmTgUdJj2DOiog3cjlnA9OAHsCEiHgkL+KrwCRJlwIPAONz+njgekkLSS0dozb4ypqZmXUx3S7wiIhTKiSPr5BWyn8ZcFmF9FuBWyukLyK99VKe/jJwUrsqa2Zm9g7jRy1mZmZWMw48zMzMrGYceJiZmVnNOPAwMzOzmnHgYWZmZjXjwMPMzMxqxoGHmZmZ1UxDBx6ShtW7DmZmZtZ2DR14AFdLmi3ps5K2rXdlzMzMrGUNHXhExKHAJ0g/vjZH0g2SPlLnapmZmVkVDR14AETEAuAC0m+kfBC4StJjkj5e35qZmZlZuYYOPCTtJekKYB7wIeBjEbFHHr6irpUzMzOzdTT6j8T9ELgG+FpE/KOUGBFLJV1Qv2qZmZlZJY0eeBwL/KPwU/UbAb0i4qWIuL6+VTMzM7NyDf2oBfgfYLPC+OY5zczMzLqgRg88ekXEmtJIHt68pRkkTZD0jKSHC2nbSZouaUH+2zunS9JVkhZKelDSfoV5Ruf8CySNLqTvL+mhPM9VktTSMszMzLqTRg88XiwLBvYH/tFCfoBrgRFlaecBt0fEEOD2PA5wDDAkf8YCP8nL2Q64EDgIOBC4sBBI/CTnLc03opVlmJmZdRuNHnh8HviVpD9K+iPwS+DslmaIiLuAFWXJI4GJeXgicEIh/bpI7gG2lbQjcDQwPSJWRMRKYDowIk/bOiLujogArisrq9IyzMzMuo2G7lwaEfdKeg+wOyDgsYh4rQNF7RARy3KZyyRtn9P7A0sK+ZpzWkvpzRXSW1qGmZlZt9HQgUd2ADCItC77SiIiruukslUhLTqQ3r6FSmNJj2sYOHBge2c3MzPrshr6UYuk64HvAIeSApADgOEdKOrp/JiE/PeZnN5M+jr2kiZgaSvpTRXSW1rGOiJiXEQMj4jh/fr168DqmJmZdU0NHXiQgoxDIuKzEXFO/pzbgXKmAqU3U0YDNxXST81vtxwMrMqPS6YBR0nqnTuVHgVMy9NWSzo4v81yallZlZZhZmbWbTT6o5aHgXcBy9o6g6QbgcOBvpKaSW+nXA5MlnQG8CRwUs5+K+lLyhYCLwGnAUTECknfAO7N+S6JiFKH1TNJb85sBtyWP7SwDDMzs26j0QOPvsCjkmYDr5QSI+L4ajNExClVJh1ZIW8AZ1UpZwIwoUL6HGBYhfTnKi3DzMysO2n0wOOielfAzMzM2q6hA4+ImClpZ2BIRPyPpM2BHvWul5mZmVXW0J0G76W8AAATPklEQVRLJX0amAL8NCf1B35XvxqZmZlZSxo68CD1vzgEeAEgIhYA/mIuMzOzLqrRA49XIuLV0oiknnTgC7vMzMysNho98Jgp6WvAZpI+AvwK+O8618nMzMyqaPTA4zxgOfAQ8K+k7924oK41MjMzs6oa/a2WN4Fr8sfMzMy6uIYOPCQ9QYU+HRGxSx2qY2ZmZq1o6MCDtX8Qrhfpa8i3q1NdzMzMrBUN3ccjIp4rfJ6KiCuBD9W7XmZmZlZZQ7d4SNqvMLoRqQVkqzpVx8zMzFrR0IEH8N3C8OvAYuCf6lMVMzMza01DBx4RcUS962BmZmZt19CBh6QvtDQ9Ir5Xq7qYmZlZ6xo68CD16TgAmJrHPwbcBSypW43MzMysqoZ+qwXoC+wXEV+MiC8C+wNNEXFxRFzc3sIk/ZukRyQ9LOlGSb0kDZY0S9ICSb+UtEnOu2keX5inDyqUc35Ony/p6EL6iJy2UNJ56732ZmZmDabRA4+BwKuF8VeBQR0pSFJ/4FxgeEQMA3oAo4BvAldExBBgJXBGnuUMYGVE7ApckfMhac8831BgBPBjST0k9QB+BBwD7AmckvOamZl1G40eeFwPzJZ0kaQLgVnAdetRXk/SD871BDYHlpG+F2RKnj4ROCEPj8zj5OlHSlJOnxQRr0TEE8BC4MD8WRgRi/Iv6k7Kec3MzLqNhg48IuIy4DRSS8TzwGkR8R8dLOsp4DvAk6SAYxVwH/B8RLyeszUD/fNwf3Jfkjx9FdCnmF42T7X0dUgaK2mOpDnLly/vyOqYmZl1SQ0deGSbAy9ExPeBZkmDO1KIpN6kFojBwE7AFqTHIuVKvw2jKtPam75uYsS4iBgeEcP79evXWtXNzMwaRkMHHvnxyleB83PSxsDPO1jch4EnImJ5RLwG/AZ4P7BtfvQC0AQszcPNwIBcj57ANsCKYnrZPNXSzczMuo2GDjyA/wMcD7wIEBFL6fhXpj8JHCxp89xX40jgUWAGcGLOMxq4KQ9PzePk6XdEROT0Ufmtl8HAEGA2cC8wJL8lswmpA2rpNWAzM7NuodG/x+PViAhJASBpi44WFBGzJE0B7id9/foDwDjgFmCSpEtz2vg8y3jgekkLSS0do3I5j0iaTApaXgfOiog3cv3OBqaR3piZEBGPdLS+ZmZmjajRA4/Jkn5KehzyaeB04JqOFhYRFwIXliUvIr2RUp73ZeCkKuVcBlxWIf1W4NaO1s/MzKzRNXTgERHfkfQR4AVgd+DfI2J6natlZmZmVTRs4JG/kGtaRHwYcLBhZmbWABq2c2nuN/GSpG3qXRczMzNrm4Zt8cheBh6SNJ38ZgtARJxbvyqZmZlZNY0eeNySP2ZmZtYAGjLwkDQwIp6MiImt5zYzM7OuolH7ePyuNCDp1/WsiJmZmbVdowYexd892aVutTAzM7N2adTAI6oMm5mZWRfWkH08gL0lvUBq+dgsD5PHIyK2rl/VzMzMrJqGDDwioke962BmZmbt16iPWszMzKwBOfAwMzOzmnHgYWZmZjXjwMPMzMxqxoFHgaRtJU2R9JikeZLeJ2k7SdMlLch/e+e8knSVpIWSHpS0X6Gc0Tn/AkmjC+n7S3ooz3OVJFWqh5mZ2TuVA4+1fR/4fUS8B9gbmAecB9weEUOA2/M4wDHAkPwZC/wEQNJ2wIXAQcCBwIWlYCXnGVuYb0QN1snMzKzLcOCRSdoaOAwYDxARr0bE88BIoPSbMBOBE/LwSOC6SO4BtpW0I3A0MD0iVkTESmA6MCJP2zoi7o6IAK4rlGVmZtYtOPB42y7AcuC/JD0g6WeStgB2iIhlAPnv9jl/f2BJYf7mnNZSenOFdDMzs27DgcfbegL7AT+JiH2BF3n7sUollfpnRAfS1y1YGitpjqQ5y5cvb7nWZmZmDcSBx9uageaImJXHp5ACkafzYxLy32cK+QcU5m8ClraS3lQhfR0RMS4ihkfE8H79+q3XSpmZmXUlDjyyiPg7sETS7jnpSOBRYCpQejNlNHBTHp4KnJrfbjkYWJUfxUwDjpLUO3cqPQqYlqetlnRwfpvl1EJZZmZm3UJD/lbLBnQO8AtJmwCLgNNIwdlkSWcATwIn5by3AscCC4GXcl4iYoWkbwD35nyXRMSKPHwmcC2wGXBb/piZmXUbDjwKImIuMLzCpCMr5A3grCrlTAAmVEifAwxbz2qamZk1LD9qMTMzs5px4GFmZmY148DDzMzMasaBh5mZmdWMAw8zMzOrGb/VYvYOMejlG+pdhQ1qcb0rYGadwi0eZmZmVjMOPMzMzKxmHHiYmZlZzTjwMDMzs5px4GFmZmY148DDzMzMasaBh5mZmdWMAw8zMzOrGQceZmZmVjMOPMpI6iHpAUk35/HBkmZJWiDpl5I2yemb5vGFefqgQhnn5/T5ko4upI/IaQslnVfrdTMzM6s3Bx7r+hwwrzD+TeCKiBgCrATOyOlnACsjYlfgipwPSXsCo4ChwAjgxzmY6QH8CDgG2BM4Jec1MzPrNhx4FEhqAj4K/CyPC/gQMCVnmQickIdH5nHy9CNz/pHApIh4JSKeABYCB+bPwohYFBGvApNyXjMzs27DgcfargS+AryZx/sAz0fE63m8Geifh/sDSwDy9FU5/1vpZfNUSzczM+s2HHhkko4DnomI+4rJFbJGK9Pam16pLmMlzZE0Z/ny5S3U2szMrLH0rHcFupBDgOMlHQv0ArYmtYBsK6lnbtVoApbm/M3AAKBZUk9gG2BFIb2kOE+19LVExDhgHMDw4cMrBicbyjv5p9UX17sCZmbmFo+SiDg/IpoiYhCpc+gdEfEJYAZwYs42GrgpD0/N4+Tpd0RE5PRR+a2XwcAQYDZwLzAkvyWzSV7G1BqsmpmZWZfhFo/WfRWYJOlS4AFgfE4fD1wvaSGppWMUQEQ8Imky8CjwOnBWRLwBIOlsYBrQA5gQEY/UdE3MzMzqzIFHBRFxJ3BnHl5EeiOlPM/LwElV5r8MuKxC+q3ArZ1YVTMzs4biRy1mZmZWMw48zMzMrGYceJiZmVnNOPAwMzOzmnHgYWZmZjXjwMPMzMxqxoGHmZmZ1YwDDzMzM6sZBx5mZmZWMw48zMzMrGYceJiZmVnNOPAwMzOzmnHgYWZmZjXjwMPMzMxqxoGHmZmZ1YwDj0zSAEkzJM2T9Iikz+X07SRNl7Qg/+2d0yXpKkkLJT0oab9CWaNz/gWSRhfS95f0UJ7nKkmq/ZqamZnVjwOPt70OfDEi9gAOBs6StCdwHnB7RAwBbs/jAMcAQ/JnLPATSIEKcCFwEHAgcGEpWMl5xhbmG1GD9TIzM+syHHhkEbEsIu7Pw6uBeUB/YCQwMWebCJyQh0cC10VyD7CtpB2Bo4HpEbEiIlYC04ERedrWEXF3RARwXaEsMzOzbsGBRwWSBgH7ArOAHSJiGaTgBNg+Z+sPLCnM1pzTWkpvrpBuZmbWbTjwKCNpS+DXwOcj4oWWslZIiw6kV6rDWElzJM1Zvnx5a1U2MzNrGA48CiRtTAo6fhERv8nJT+fHJOS/z+T0ZmBAYfYmYGkr6U0V0tcREeMiYnhEDO/Xr9/6rZSZmVkX4sAjy2+YjAfmRcT3CpOmAqU3U0YDNxXST81vtxwMrMqPYqYBR0nqnTuVHgVMy9NWSzo4L+vUQllmZmbdQs96V6ALOQT4FPCQpLk57WvA5cBkSWcATwIn5Wm3AscCC4GXgNMAImKFpG8A9+Z8l0TEijx8JnAtsBlwW/6YmZl1Gw48soj4E5X7YQAcWSF/AGdVKWsCMKFC+hxg2HpU08zMrKH5UYuZmZnVjAMPMzMzqxkHHmZmZlYzDjzMzMysZhx4mJmZWc048DAzM7OaceBhZmZmNePAw8zMzGrGgYeZmZnVjAMPMzMzqxkHHmZmZlYzDjzMzMysZhx4mJmZWc048DAzM7OaceBhZmZmNePAw8zMzGrGgUeNSRohab6khZLOq3d9zMzMasmBRw1J6gH8CDgG2BM4RdKe9a2VmZlZ7fSsdwW6mQOBhRGxCEDSJGAk8Ghda2Vm9XfRNvWuwYZ10ap618C6CAcetdUfWFIYbwYOKs8kaSwwNo+ukTS/BnWrl77As7VYkL5Zi6V0KzXbd+D9twHUdP9xsWq2qGznWi/Q2saBR21VOvNinYSIccC4DV+d+pM0JyKG17se1n7ed43N+8/qxX08aqsZGFAYbwKW1qkuZmZmNefAo7buBYZIGixpE2AUMLXOdTIzM6sZP2qpoYh4XdLZwDSgBzAhIh6pc7XqrVs8UnqH8r5rbN5/VheKWKeLgZmZmdkG4UctZmZmVjMOPMzMzKxmHHiYmZlZzbhzqdWMpPeQvqm1P+n7S5YCUyNiXl0rZvYOl8+9/sCsiFhTSB8REb+vX82sO3KLh9WEpK8Ck0hfojab9GqxgBv9Y3mNTdJp9a6DVSfpXOAm4BzgYUkjC5P/oz61su7Mb7VYTUj6GzA0Il4rS98EeCQihtSnZra+JD0ZEQPrXQ+rTNJDwPsiYo2kQcAU4PqI+L6kByJi37pW0LodP2qxWnkT2An437L0HfM068IkPVhtErBDLeti7daj9HglIhZLOhyYImlnKv+Mg9kG5cDDauXzwO2SFvD2D+UNBHYFzq5braytdgCOBlaWpQv4S+2rY+3wd0n7RMRcgNzycRwwAXhvfatm3ZEDD6uJiPi9pN2AA0md3ET67Zp7I+KNulbO2uJmYMvSzatI0p21r461w6nA68WEiHgdOFXST+tTJevO3MfDzMzMasZvtZiZmVnNOPAwMzOzmnHgYdZBkkLSdwvjX5J0USeVfa2kEzujrFaWc5KkeZJmlKVvJOkqSQ9LekjSvZIG52mLJf2xLP9cSQ/n4c0l/SLP97CkP0nasgbr0q5OrpIOl3TzhqqPmVXmzqVmHfcK8HFJ/xkRz9a7MiWSerSjw+4ZwGcjYkZZ+smk15/3iog3JTUBLxambyVpQEQskbRH2byfA56OiPfm+uwOvEYL2lnniiLi/eszf2sk9cydMs1sPbjFw6zjXgfGAf9WPqG8xULSmvz3cEkzJU2W9DdJl0v6hKTZuYXg3YViPizpjznfcXn+HpK+nVsgHpT0r4VyZ0i6AXioQn1OKbRAfDOn/TtwKHC1pG+XzbIjsCwi3gSIiOaIKL5KO5kUnACcAtxYNu9TpZGImB8Rr1So0xpJl0iaBbxP0v5529wnaZqkHXO+OyVdIemu3DpzgKTfSFog6dIq2/hOSVMkPZZbX5SnjchpfwI+Xph3C0kT8nZ9oPTtnpLGSPqVpP8G/iBpx1yPuXlbfqB8vcysFRHhjz/+dOADrAG2BhYD2wBfAi7K064FTizmzX8PB54n3Zw3Jd2gL87TPgdcWZj/96R/DoaQXj3uBYwFLsh5NgXmAINzuS8CgyvUcyfgSaAfqZXzDuCEPO1OYHiFeZryes0FvgvsW5i2GNgN+EsefwDYE3g4j+8DPAPcDVwKDKmy/QL4pzy8Men7QPrl8ZOBCYU6frOwjZYWtl8z0KfCNl6V12GjXI9D8/ZbkrenSMHTzXme/wA+mYe3Bf4GbAGMycvYLk/7IvD1PNwD2Krex6E//jTaxy0eZushIl4ArgPObcds90bEskitAI8Df8jpDwGDCvkmR8SbEbEAWAS8BziK9P0Lc4FZQB/SjRRgdkQ8UWF5BwB3RsTySI8KfgEc1sp6NQO7A+eTvln2dklHFrKsAFZKGgXMA14qzDsX2AX4NrAdcG+FxzEAbwC/zsO7A8OA6XndLiAFDiVT89+HSF+xX9p+i4ABFcqeHamV5k1S8DSItP2eiIgFERHAzwv5jwLOy8u+kxSklL4GfnpErMjD9wKn5b48742I1RWWbWYtcB8Ps/V3JXA/8F+FtNfJjzJzM/8mhWnFxw5vFsbfZO1zsvxLdoL0n/o5ETGtOCF/DfaLVNahr8XON/bbgNskPQ2cANxeyPJL4EekVoHyedcAvwF+I+lN4FhSgFL0crzdr0OkgOJ9VapT3Ebl26/SdayY541CnmpfXCTg/0bE/LUSpYMobNeIuEvSYcBHgeslfTsirqtSpplV4BYPs/WU/xueTOqoWbIY2D8PjyQ9Smivk/LbJe8mtSDMB6YBZ0raGEDSbpK2aKWcWcAHJfWV1IPUJ2NmSzNI2k/STnl4I2Av1v2dnd8C38p1Ks57iKTeeXgT0mOY8nnLzQf6SXpfnm9jSUNbmae9HgMGF/rRnFKYNg04p9AXpOIPpyn9vskzEXENMB7Yr5PraPaO5xYPs87xXdb+zZlrgJskzSa1ElRrjWjJfFKAsAPwmYh4WdLPSI8N7s83yeWkloiqImKZpPOBGaT/7G+NiJtaWfb2wDWSNs3js4EflpW7Gih1VC1Oejfwk1y/jYBbePuRSrU6vpo7414laRvStelK4JFW6tlmefuNBW6R9CzwJ9LjHYBv5OU9mOu9GDiuQjGHA1+W9Bqpj8+pnVU/s+7CX5luZmZmNeNHLWZmZlYzDjzMzMysZhx4mJmZWc048DAzM7OaceBhZmZmNePAw8zMzGrGgYeZmZnVjAMPMzMzq5n/D4mNA1ofYfGCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ec9d9748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_dow_status = data.groupby(['Sms_Reminder', 'Status'])['Sms_Reminder'].count().unstack('Status').fillna(0)\n",
    "data_dow_status[[0, 1]].plot(kind='bar', stacked=True)\n",
    "plt.title('Frequency of people showing up and not showing up by number of SMS reminders sent')\n",
    "plt.xlabel('Number of SMS reminders')\n",
    "plt.ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "短信提醒数量对一周内预约日的影响"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Frequency')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7eeea02e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_dow_status = data.groupby(['DayOfTheWeek', 'Status'])['DayOfTheWeek'].count().unstack('Status').fillna(0)\n",
    "data_dow_status[[0, 1]].plot(kind='bar', stacked=True)\n",
    "plt.title('Frequency of people showing up and not showing up by Day of the week')\n",
    "plt.xlabel('Day of the week')\n",
    "plt.ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "根据出现与否绘制病人年龄的箱形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEcCAYAAAAoSqjDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAGR5JREFUeJzt3X20XXV95/H3x0QSeVBA6hUIElTUBNpSSVGn6FzEsajM4EzVio4NTkoal0QtdEmUVktHpmRm0HFRKysMCrYaQWurI5ZqIVcHH6iAWoGoUOQhEp7KgwQlCvOdP/a+28P15uHec+89yc37tdZZOWfv3977e87dOZ+zf7+9z0lVIUkSwBMGXYAkacdhKEiSOoaCJKljKEiSOoaCJKljKEiSOoaCZlySC5O8b9B1DNrWXockJyW5cqZrkgyFXViSW5L8NMmmJPcnuTTJQYOuq1eSSvLsQdexM0tyWJIvtn/jB5Jck+SV7bzhJBsmuD7/JrOYoaB/X1V7AvsDdwHnDrieaZPGrrjP/x/gS8AQ8DTgbcCPB1qRdli74n8QjaOqHgE+DSwenZbkKUk+luSeJLcm+ePRN9UkH07y6Z62q5Nc3r7xDifZkOTdSe5tj0jeuKVtJzk5yU1J7kvyuSQHtNO/0jb5Tns087vjLDsnyTntdn6Y5JT2k+zcdv5IkrOSfBX4CfDMJAe027mv3e7JPet7XJfO2E/S7XN5V5Ib2k/eH00yv2f+8Um+3X4i/1qSX+uZ9xtJrk3yUJKLgW65Lb80OTfJg0m+l+TYduJrk1wzpuFpSf5unBXsBxwCnF9VP2tvX62qK5PsAfw9cED7+m5qX5ujkny9fQ4bk/xFkt229DcZr6ur92giySvb1+uhJD9K8kfbeN4apKrytovegFuAl7X3dwcuAj7WM/9jwGeBvYCFwA+AZT3tfwCcBLwYuBdY0M4bBh4F3g/MA/4t8DDw3Hb+hcD72vsvbZd9ftv2XOArPTUU8OytPIcVwA3AAmAf4B/bZea280eA24DDgLnAE4EvA39J86Z8BHAPcOzY2nqey4Yxr9l1wEHAvsBXe57L84G7gRcAc4Clbft5wG7ArcAftjW8Bvh577bGPK+T2tdwtP3vAg+225wH3Acs6mn/LeB3xllPgBuBzwOvBobGzH/c82unHQm8sH29FgLrgXds6W/S1nrlmHV0bYCNwIvb+/sAzx/0vu9tK+8Lgy7A2wD/+M0b1ibggfYN6A7gV9t5c4DNwOKe9n8AjPQ8Pqp9c7oVOLFn+nC7vj16pl0C/El7v3vjBS4A/ntPuz3bN8uF7eNthcIVwB/0PH4ZvxwKf9Yz/yDgMWCvnml/Dlw4trae5zI2FFb0PH4l8C/t/Q8D/3VMfd+nCcWXtK9veuZ9ja2Hwtj2/wS8qWdbZ7X3DwPuB+ZtYV0LgL8A/gX4f8BXgEPHe35bWP4dwN/2PJ5oKNzW7jtPHvQ+723bN7uP9Oqq2pvm0+cpwJeTPB3Yj198uh11K3Dg6IOq+ifgZppPo5eMWe/9VfXwmGUPGGf7B/Ruo6o2Af/au51tOAC4vefx7eO06Z12AHBfVT00prbt3d7Y9fU+r4OB09pulweSPEATQge0tx9V+y7Zs+zWjNd+dFsXAW9IEuBNwCVVtXm8lVTVhqo6paqe1db4MM1R4LiSPCfJ55PcmeTHwH+j2R8m63dowvPWJF9O8qI+1qVpZigIgKp6rKo+Q/Mp+miaLp2f07yJjHoG8KPRB0neShMmdwDvHLPKfdo+695l7xhn03f0bqNd5qm929mGjTSfhEeNd/ZU7xvrHcC+SfYaU9vo9h6m6Rob9fRx1te7jd7ndTvNp/e9e267V9Xats4D2zfx3mW3Zrz2dwBU1TeAn9F03b0B+KttrIt2uduBDwGHj04ap9mHge/RHE08GXg3TfBvyeNes/ZDRe82v1lVJ9AMcv8dv/wBQjsQQ0FAd2bOCTR9vuur6jGa/7xnJdkrycHAqcBft+2fA7wP+M80n1TfmeSIMas9M8luSV4MHA98apxNfwJ4c5Ijksyj+VR6VVXd0s6/C3jmVkq/BHh7kgOT7A2cvrXn2b4pfg348yTz24HgZcDH2ybfBla0n/SfQdN1MtZbkyxIsi/NG+bF7fTz22Vf0L6eeyR5VRtAX6fpUntbkrlJ/hNN99vWPK1t/8QkrwUWAV/omf8xmm6hR6tq3GsakuyT5Mwkz07yhHbg+b8A32ib3AU8NclTehbbi+bspE1Jnge8Zcxqx/5NvgMc1v4N5wN/2rP93ZK8MclTqurn7Xof28bz1iANuv/K2+BuNP3jP6UZV3iIZgD1jT3z96EJgXtoPgW/h+aDxFya/u1VPW3fAnyX5shhGNgAnEFzxHEbbV942/ZCHt9vv4Kmv/s+mgHRBWPmbaQZ93jdOM9hLvABmi6nH9IMzP6cti+eZkzh98css6Ddzn3tdnvHCJ5L0+9e/GJgeOyYwrtoBrcfoOnG2b1n/nHAN9t5G2mCcK923hKaAeGHaILkYrY+pvBVmjf9B2kG9V8+ps0z2lrP3MrfeI+2xlvav/OdwFrgwJ42H2lfvwdouqdeQnOksAn4v8Cf0TNmMN7fpOdvfTvNB4UCnk3TBXkZzZjHj9vX5uhB7/vetnwb/Y8jTZkkw8BfV9WCbbWdhm2/Ajivqg7eZuPxl38P8NvAVcBzqur4dvpTacLsVTRn83wKGK6qo9v5z6M5c+pImhD9k6qa1m6SJE+iOdvp+VV143RuS7sOu4+0U0vypPY8+LlJDgTeC/xtH6v8PZqupI8Dv51kqJ3+IZq+89uB1TSnm47WsAfNxWGfoOnyORH4yySH9VHH9ngL8E0DQVPJUNDOLsCZNN0T36I5p/49k1pRcjTNoPclVXUNTdfSG5LMoTmD5r003SK30XTJjDoeuKWqPlpVj1bVtcDf0FyLMC2S3AK8HThturahXdPcQReg2aeqRnj8GUHTua2fAL85RatbCnyxqu5tH3+inbaW5v/K7VW1ECDJs3qWOxh4QXsK6qi5bOcZQZMxWoc01QwFia5//nXAnCR3tpPnAXvTfGfQozRB94N2Xu9pqbcDX66qfzdD5UrTxoFmCUhyIs24wRE05/+PuoTmjJkFNKdS/j7NWT9fBG6rqqPbU06vA/4Y+GS73BHApqpaPzPPQJoajilIjaXAR6vqtqq6c/RGc0roG2mu9n4KzSmdf0XTpbQZoJqro18OvJ7m4rI7aQaj5834s5D65JGCNAlJVgNPr6ql22ws7UQ8UpC2Q5LnJfm19krlo2iugu7n1Fdph+RAs7R99qLpMjqA5oKxc2i+VlyaVew+kiR17D6SJHUMBUlSZ4cYU9hvv/1q4cKFgy5j1nn44YfZY489tt1Q2kG4z06fa6655t6q+pVttdshQmHhwoVcffXVgy5j1hkZGWF4eHjQZUjbzX12+iTZ1i/9AXYfSZJ6GAqSpI6hIEnqGAqSpI6hIEnqGAqz0Nq1azn88MM59thjOfzww1m7du2gS5K2auXKlcyfP59jjjmG+fPns3LlykGXtMvaIU5J1dRZu3YtZ5xxBhdccAGPPfYYc+bMYdmyZQCceOKJA65O+mUrV67kvPPOY/Xq1SxevJgbbriB008/HYBzzz13wNXtgqpq4LcjjzyyNDUOO+ywuuKKK6qqat26dVVVdcUVV9Rhhx02wKqkLZs3b16dc845VfWLffacc86pefPmDbCq2Qe4urbj/djuo1lm/fr1HH300Y+bdvTRR7N+vT8Aph3T5s2bWbFixeOmrVixgs2bNw+ool2boTDLLFq0iCuvvPJx06688koWLVo0oIqkrZs3bx7nnXfe46add955zJvnD9cNgmMKs8wZZ5zBsmXLujGFdevWsWzZMs4666xBlyaN6+STT+7GEBYvXsz73/9+Tj/99F86etDMMBRmmdHB5JUrV7J+/XoWLVrEWWed5SCzdlijg8nvfve72bx5M/PmzWPFihUOMg/IDvEjO0uWLCm/EG/q+eVi2tm4z06fJNdU1ZJttXNMQZLUMRQkSR1DQZLUcaBZ0oxLMqnldoQx0NnOIwVJM25LV9MefPrnt3q1raafoSBJ6hgKkqSOoSBJ6hgKkqSOoTAL+YMlkibLU1JnGX+wRFI/PFKYZc4//3xWr17Nqaeeyvz58zn11FNZvXo1559//qBLk7QTMBRmGX+wRFI/DIVZxh8skdSPbY4pJPkIcDxwd1Ud3k7bF7gYWAjcAryuqu5Pc+36B4FXAj8BTqqqa6endI0a+5UBp512Gqeddto223mFqKSxtudI4ULguDHTVgGXV9WhwOXtY4BXAIe2t+XAh6emTG3N2K8COOWUU7ojg3nz5nHKKaf4lQGStss2Q6GqvgLcN2byCcBF7f2LgFf3TP9YNb4B7J1k/6kqVtvn3HPP5ZFHHuHg0z/PI4884llHkrbbZE9JHaqqjQBVtTHJ09rpBwK397Tb0E7bOHYFSZbTHE0wNDTEyMjIJEvR1vi6amfjPjtYU32dwnjfhztuP0VVrQHWQPNznP4E3zS47FJ/2lA7F/fZgZvs2Ud3jXYLtf/e3U7fABzU024BcMfky5MkzaTJhsLngKXt/aXAZ3um/14aLwQeHO1mkiTt+LbnlNS1wDCwX5INwHuBs4FLkiwDbgNe2zb/As3pqDfRnJL65mmoWZI0TbYZClV14hZmHTtO2wLe2m9RkqTB8IpmSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVKnr1BI8odJrk9yXZK1SeYnOSTJVUluTHJxkt2mqlhJ0vSadCgkORB4G7Ckqg4H5gCvB1YDH6iqQ4H7gWVTUagkafr12300F3hSkrnA7sBG4KXAp9v5FwGv7nMbkqQZMulQqKofAf8TuI0mDB4ErgEeqKpH22YbgAP7LVKSNDPmTnbBJPsAJwCHAA8AnwJeMU7T2sLyy4HlAENDQ4yMjEy2FG2Fr6t2Nu6zgzXpUABeBvywqu4BSPIZ4N8AeyeZ2x4tLADuGG/hqloDrAFYsmRJDQ8P91GKxnXZpfi6aqfiPjtw/Ywp3Aa8MMnuSQIcC9wArANe07ZZCny2vxIlSTOlnzGFq2gGlK8Fvtuuaw1wOnBqkpuApwIXTEGdkqQZ0E/3EVX1XuC9YybfDBzVz3olSYPhFc2SpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnq9BUKSfZO8ukk30uyPsmLkuyb5EtJbmz/3WeqipUkTa9+jxQ+CFxWVc8Dfh1YD6wCLq+qQ4HL28eSpJ3ApEMhyZOBlwAXAFTVz6rqAeAE4KK22UXAq/stUpI0M/o5UngmcA/w0STfSvK/k+wBDFXVRoD236dNQZ2SpBkwt89lnw+srKqrknyQCXQVJVkOLAcYGhpiZGSkj1K0Jb6u2tm4zw5WP6GwAdhQVVe1jz9NEwp3Jdm/qjYm2R+4e7yFq2oNsAZgyZIlNTw83EcpGtdll+Lrqp2K++zATbr7qKruBG5P8tx20rHADcDngKXttKXAZ/uqUJI0Y/o5UgBYCXw8yW7AzcCbaYLmkiTLgNuA1/a5DUnSDOkrFKrq28CScWYd2896JUmD0e+RgiSN69fP/CIP/vTnE15u4apLJ9T+KU96It9578snvB2Nz1CQNC0e/OnPueXsV01omZGRkQkPNE80RLR1fveRJKljKEiSOoaCJKljKEiSOoaCJKljKEiSOoaCJKljKEiSOl68thOZzBWiXh0qaSIMhZ3IRK8Q9epQSRNl95EkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6fYdCkjlJvpXk8+3jQ5JcleTGJBcn2a3/MiVJM2EqjhTeDqzvebwa+EBVHQrcDyybgm1IkmZAXz+yk2QB8CrgLODUJAFeCryhbXIR8KfAh/vZjqSdz16LVvGrF62a+IIXTXQ70LwNaSr0+8tr/wt4J7BX+/ipwANV9Wj7eANw4HgLJlkOLAcYGhpiZGSkz1J2DRN5nTZt2jSp19W/habCQ+vP5sLj9pjQMps2bWLPPfec0DInXfaw++wUmnQoJDkeuLuqrkkyPDp5nKY13vJVtQZYA7BkyZKa6M9G7pIuu3RCP685mZ/jnOg2pC2axL7kPjt4/Rwp/BbwH5K8EpgPPJnmyGHvJHPbo4UFwB39lylJmgmTHmiuqndV1YKqWgi8Hriiqt4IrANe0zZbCny27yolSTNiOq5TOJ1m0PkmmjGGC6ZhG5KkadDvQDMAVTUCjLT3bwaOmor1SpJmllc0S5I6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6U3KdgmbGpL510m+clDQBhsJO5KH1Z3PL2dv/hj2ZLxdbuOrSCVYlaTax+0iS1DEUJEkdQ0GS1DEUJEkdQ0GS1DEUJEkdQ0GS1DEUJEkdQ0GS1DEUJEkdQ0GS1DEUJEkdQ0GS1DEUJEkdQ0GS1DEUJEkdQ0GS1Jl0KCQ5KMm6JOuTXJ/k7e30fZN8KcmN7b/7TF25kqTp1M+RwqPAaVW1CHgh8NYki4FVwOVVdShweftYkrQTmHQoVNXGqrq2vf8QsB44EDiBX/xc/EXAq/stUpI0M+ZOxUqSLAR+A7gKGKqqjdAER5KnbWGZ5cBygKGhIUZGRqailFlvIq/Tpk2bJvW6+rfQVFm46tKJL3TZxJbZ44nus1Op71BIsifwN8A7qurHSbZruapaA6wBWLJkSQ0PD/dbyux32aVM5HUaGRmZUPvJbEPakluGJ77MwlWXcsvZr5ryWrT9+jr7KMkTaQLh41X1mXbyXUn2b+fvD9zdX4mSpJnSz9lHAS4A1lfV+3tmfQ5Y2t5fCnx28uVJkmZSP91HvwW8Cfhukm+3094NnA1ckmQZcBvw2v5KlCTNlEmHQlVdCWxpAOHYya5XWzfhgbsJDto95UlPnNj6Jc0qU3L2kWbGRAfgHLSTNFF+zYUkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI6hoIkqWMoSJI60xIKSY5L8v0kNyVZNR3bkCRNvSkPhSRzgA8BrwAWAycmWTzV25EkTb3pOFI4Cripqm6uqp8BnwROmIbtSJKm2HSEwoHA7T2PN7TTJEk7uLnTsM6MM61+qVGyHFgOMDQ0xMjIyDSUsms45phjtjgvq7e83Lp166ahGmnb3Gd3XNMRChuAg3oeLwDuGNuoqtYAawCWLFlSw8PD01DKrqHqlzIXgJGREXxdtSNyn91xTUf30TeBQ5MckmQ34PXA56ZhO5KkKTblRwpV9WiSU4B/AOYAH6mq66d6O5KkqTcd3UdU1ReAL0zHuiVJ08crmiVJHUNBktQxFCRJHUNBktQxFCRJnWzpIpIZLSK5B7h10HXMQvsB9w66CGkC3Genz8FV9SvbarRDhIKmR5Krq2rJoOuQtpf77ODZfSRJ6hgKkqSOoTC7rRl0AdIEuc8OmGMKkqSORwqSpI6hMEslOS7J95PclGTVoOuRtibJR5LcneS6QdeyqzMUZqEkc4APAa8AFgMnJlk82KqkrboQOG7QRchQmK2OAm6qqpur6mfAJ4ETBlyTtEVV9RXgvkHXIUNhtjoQuL3n8YZ2miRtlaEwO2WcaZ5mJmmbDIXZaQNwUM/jBcAdA6pF0k7EUJidvgkcmuSQJLsBrwc+N+CaJO0EDIVZqKoeBU4B/gFYD1xSVdcPtippy5KsBb4OPDfJhiTLBl3TrsormiVJHY8UJEkdQ0GS1DEUJEkdQ0GS1DEUJEkdQ0G7tCRnJLk+yT8n+XaSFyR5R5Ldt2PZ7Won7Uw8JVW7rCQvAt4PDFfV5iT7AbsBXwOWVNW921j+lu1pJ+1MPFLQrmx/4N6q2gzQvrm/BjgAWJdkHUCSDye5uj2iOLOd9rZx2m0aXXGS1yS5sL3/2iTXJflOkq/M4POTJswjBe2ykuwJXAnsDvwjcHFVfXnsEUCSfavqvvZ3Ki4H3lZV/zxOu01VtWd7/zXA8VV1UpLvAsdV1Y+S7F1VD8z0c5W2l0cK2mVV1SbgSGA5cA9wcZKTxmn6uiTXAt8CDqP54aKJ+CpwYZKTgTmTr1iafnMHXYA0SFX1GDACjLSf6Jf2zk9yCPBHwG9W1f1tl9D8La2u537XpqpWJHkB8Crg20mOqKp/nbpnIU0djxS0y0ry3CSH9kw6ArgVeAjYq532ZOBh4MEkQzQ/cTqqtx3AXUkWJXkC8B97tvOsqrqqqt4D3Mvjv9Zc2qF4pKBd2Z7AuUn2Bh4FbqLpSjoR+PskG6vqmCTfAq4HbqbpChq1prcdsAr4PM2v3l3Xrh/gf7ThE5oxie9M/1OTJseBZklSx+4jSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdQwFSVLHUJAkdf4/w6mUHMNbnj4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ed1da4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.boxplot(column=['Age'], return_type='axes', by='Status')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "针对患者出现与否，按性别绘制年龄曲线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ed799a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 3.5))\n",
    "for i, status in enumerate(['no show ups', 'show ups']):\n",
    "    data_show = data[data['Status']==i]\n",
    "    plt.subplot(1, 2, i+1)\n",
    "    for gender in [0, 1]:\n",
    "        data_gender = data_show[data_show['Gender']==gender]\n",
    "        freq_age = data_gender['Age'].value_counts().sort_index()\n",
    "        freq_age.plot()\n",
    "    plt.title('Age wise frequency of patient %s for both genders' % status)\n",
    "    plt.xlabel('Age')\n",
    "    plt.ylabel('Frequency')\n",
    "    plt.legend(['Female', 'Male'], loc='upper left')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "根据出现与否绘制病人等待时间的箱形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ecae9dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.boxplot(column=['AwaitingTime'], return_type='axes', by='Status')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 特征的生成"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "将时间分解为年/月/日/时/分/秒"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>AppointmentRegistration</th>\n",
       "      <th>ApointmentData</th>\n",
       "      <th>DayOfTheWeek</th>\n",
       "      <th>Status</th>\n",
       "      <th>Diabetes</th>\n",
       "      <th>Alcoolism</th>\n",
       "      <th>HiperTension</th>\n",
       "      <th>Smokes</th>\n",
       "      <th>...</th>\n",
       "      <th>AwaitingTime</th>\n",
       "      <th>AppointmentRegistration_year</th>\n",
       "      <th>AppointmentRegistration_month</th>\n",
       "      <th>AppointmentRegistration_day</th>\n",
       "      <th>AppointmentRegistration_hour</th>\n",
       "      <th>AppointmentRegistration_min</th>\n",
       "      <th>AppointmentRegistration_sec</th>\n",
       "      <th>ApointmentData_year</th>\n",
       "      <th>ApointmentData_month</th>\n",
       "      <th>ApointmentData_day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-12-16T14:46:25Z</td>\n",
       "      <td>2015-01-14T00:00:00Z</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>2014</td>\n",
       "      <td>12</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>46</td>\n",
       "      <td>25</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-08-18T07:01:26Z</td>\n",
       "      <td>2015-08-19T00:00:00Z</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>8</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>2015</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2014-02-17T12:53:46Z</td>\n",
       "      <td>2014-02-18T00:00:00Z</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2014</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>53</td>\n",
       "      <td>46</td>\n",
       "      <td>2014</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2014-07-23T17:02:11Z</td>\n",
       "      <td>2014-08-07T00:00:00Z</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>15</td>\n",
       "      <td>2014</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>2014</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>2015-10-21T15:20:09Z</td>\n",
       "      <td>2015-10-27T00:00:00Z</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>2015</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>15</td>\n",
       "      <td>20</td>\n",
       "      <td>9</td>\n",
       "      <td>2015</td>\n",
       "      <td>10</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age  Gender AppointmentRegistration        ApointmentData  DayOfTheWeek  Status  Diabetes  \\\n",
       "0   19       1    2014-12-16T14:46:25Z  2015-01-14T00:00:00Z             2       1         0   \n",
       "1   24       0    2015-08-18T07:01:26Z  2015-08-19T00:00:00Z             2       1         0   \n",
       "2    4       0    2014-02-17T12:53:46Z  2014-02-18T00:00:00Z             1       1         0   \n",
       "3    5       1    2014-07-23T17:02:11Z  2014-08-07T00:00:00Z             3       1         0   \n",
       "4   38       1    2015-10-21T15:20:09Z  2015-10-27T00:00:00Z             1       1         0   \n",
       "\n",
       "   Alcoolism  HiperTension  Smokes         ...          AwaitingTime  \\\n",
       "0          0             0       0         ...                    29   \n",
       "1          0             0       0         ...                     1   \n",
       "2          0             0       0         ...                     1   \n",
       "3          0             0       0         ...                    15   \n",
       "4          0             0       0         ...                     6   \n",
       "\n",
       "   AppointmentRegistration_year  AppointmentRegistration_month  AppointmentRegistration_day  \\\n",
       "0                          2014                             12                           16   \n",
       "1                          2015                              8                           18   \n",
       "2                          2014                              2                           17   \n",
       "3                          2014                              7                           23   \n",
       "4                          2015                             10                           21   \n",
       "\n",
       "   AppointmentRegistration_hour  AppointmentRegistration_min  AppointmentRegistration_sec  \\\n",
       "0                            14                           46                           25   \n",
       "1                             7                            1                           26   \n",
       "2                            12                           53                           46   \n",
       "3                            17                            2                           11   \n",
       "4                            15                           20                            9   \n",
       "\n",
       "   ApointmentData_year  ApointmentData_month  ApointmentData_day  \n",
       "0                 2015                     1                  14  \n",
       "1                 2015                     8                  19  \n",
       "2                 2014                     2                  18  \n",
       "3                 2014                     8                   7  \n",
       "4                 2015                    10                  27  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for col in ['AppointmentRegistration', 'ApointmentData']:\n",
    "    for index, component in enumerate(['year', 'month', 'day']):\n",
    "        data['%s_%s' % (col, component)] = data[col].apply(lambda x: int(x.split('T')[0].split('-')[index]))\n",
    "    for index, component in enumerate(['hour', 'min', 'sec']):\n",
    "        data['%s_%s' % ('AppointmentRegistration', component)] = data['AppointmentRegistration'].apply(lambda x: int(x.split('T')[1][:-1].split(':')[index]))\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 分类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model_performance(model, model_name, X_train, y_train, y_test, Y_pred):\n",
    "    print('Model name: %s' % model_name)\n",
    "    # 分类准确率分数是指所有分类正确的百分比\n",
    "    print('Test accuracy (Accuracy Score): %f' % metrics.accuracy_score(y_test, Y_pred))\n",
    "    # 直接根据真实值（必须是二值）、预测值（可以是0/1,也可以是proba值）计算出auc值\n",
    "    print('Test accuracy (ROC AUC Score): %f' % metrics.roc_auc_score(y_test, Y_pred))\n",
    "    # 模型精度\n",
    "    print('Train accuracy: %f' % model.score(X_train, y_train))\n",
    "    # precision 、recall 、thresholds \n",
    "    fpr, tpr, thresholds = metrics.precision_recall_curve(y_test, Y_pred)\n",
    "    # 计算AUC值，其中x,y分别为数组形式，根据(xi,yi)在坐标上的点，生成的曲线，然后计算AUC值\n",
    "    print('Area Under the Precision-Recall Curve: %f' % metrics.auc(fpr, tpr))\n",
    "    # 纵坐标：真正率/横坐标：假正率\n",
    "    false_positive_rate, true_positive_rate, thresholds = metrics.roc_curve(y_test, Y_pred)\n",
    "    roc_auc = metrics.auc(false_positive_rate, true_positive_rate)\n",
    "    plt.title('Receiver Operating Characteristic')\n",
    "    # 绘制ROC_AUC曲线图\n",
    "    plt.plot(false_positive_rate, true_positive_rate, 'b', label='AUC = %0.2f' % roc_auc)\n",
    "    plt.legend(loc='lower right')\n",
    "    plt.plot([0, 1], [0, 1], 'r--')\n",
    "    plt.xlim([-0.1, 1.2])\n",
    "    plt.ylim([-0.1, 1.2])\n",
    "    plt.ylabel('True Positive Rate')\n",
    "    plt.xlabel('False Positive Rate')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "features_of_choice = ['Age', 'Gender', 'DayOfTheWeek', 'Diabetes', 'Alcoolism', 'HiperTension', 'Smokes', 'Scholarship', 'Tuberculosis',\n",
    "                      'Sms_Reminder', 'AwaitingTime', 'AppointmentRegistration_year', 'AppointmentRegistration_month', \n",
    "                      'AppointmentRegistration_day', 'AppointmentRegistration_hour', 'AppointmentRegistration_min',\n",
    "                      'AppointmentRegistration_sec', 'ApointmentData_year', 'ApointmentData_month','ApointmentData_day']\n",
    "x = np.array(data[features_of_choice])\n",
    "y = np.array(data['Status'])\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 决策树"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None,\n",
       "            max_features=None, max_leaf_nodes=None,\n",
       "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n",
       "            splitter='best')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = DecisionTreeClassifier()\n",
    "clf.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model name: Decision tree classifier\n",
      "Test accuracy (Accuracy Score): 0.588829\n",
      "Test accuracy (ROC AUC Score): 0.523043\n",
      "Train accuracy: 0.999952\n",
      "Area Under the Precision-Recall Curve: 0.112398\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ece14198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_pred = clf.predict(x_test)\n",
    "model_performance(clf, 'Decision tree classifier', x_train, y_train, y_test, y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SGD分类器 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "用核近似和SGD分类器训练模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SGDClassifier(alpha=0.0001, average=False, class_weight=None,\n",
       "       early_stopping=False, epsilon=0.1, eta0=0.0, fit_intercept=True,\n",
       "       l1_ratio=0.15, learning_rate='optimal', loss='hinge', max_iter=None,\n",
       "       n_iter=None, n_iter_no_change=5, n_jobs=None, penalty='l2',\n",
       "       power_t=0.5, random_state=None, shuffle=True, tol=None,\n",
       "       validation_fraction=0.1, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rbf_feature = kernel_approximation.RBFSampler(gamma=1, random_state=1)\n",
    "X_train = rbf_feature.fit_transform(x_train)\n",
    "clf = SGDClassifier()\n",
    "clf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model name: Kernel approximation\n",
      "Test accuracy (Accuracy Score): 0.695619\n",
      "Test accuracy (ROC AUC Score): 0.500000\n",
      "Train accuracy: 0.698398\n",
      "Area Under the Precision-Recall Curve: 0.152191\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ecf4b2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X_test = rbf_feature.fit_transform(x_test)\n",
    "Y_pred = clf.predict(X_test)\n",
    "model_performance(clf, 'Kernel approximation', X_train, y_train, y_test, Y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 随机森林 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
       "            max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
       "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=None,\n",
       "            oob_score=False, random_state=None, verbose=0,\n",
       "            warm_start=False)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = RandomForestClassifier()\n",
    "clf.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model name: Random Forest\n",
      "Test accuracy (Accuracy Score): 0.639885\n",
      "Test accuracy (ROC AUC Score): 0.533882\n",
      "Train accuracy: 0.989971\n",
      "Area Under the Precision-Recall Curve: 0.131635\n"
     ]
    },
    {
     "data": {
      "image/png": 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ZYsNe90gS33wDxx8P3bvDl1/aY54k8o0nCudcvlK1z/1zzrH5D5Mn29XEkiXw3HNQtWrEzhs2wK23wvnnW1vUuHFw550Ji7248kThnMsXqvDFF3Dqqfa5P2+ezYdbvNhGMlWuHOVJL74I//0vPPIIzJhhEyZcvvM+CudcXGVmwrBhtprcjBnWMd2nD7Rrl03r0apVsHYt1K9vbVGtW8OJJ+Zz1C6SX1E45+Jixw4rsXTccTa8NT3d7s+bB7fdFiVJqMKAAZYgrguK+FWq5EmiAPBE4Zzbr9LT7YrhmGPsqqFsWSv9PXs23HCDTZzey++/W6/29ddDvXqWMLyIX4HhTU/Ouf1iyxabQd29O6xYASefbHWZLrkkh8/8n3+Gs86y1YZefx3uusuL+BUwniicc/tk40abPf3aa7BmjY1m6t8fzj03hwSxfTuULm3DXtu1g/vvt/kRrsDxpifnXJ6sWQNPPmmF+jp3hmbN4Mcf4dtv4bzzYiSJjAzo1m3PIn5vvulJogDzKwrnXK6sWGGF+vr0sYWDrrzShrc2bRriyTNmwM03W3PT5Zd7Eb9Cwq8onHOhLF5sc91q17auhCuvhFmzYOjQEEkiMxOeeAKSk60k7CefWAkOL+JXKPgVhXMupnnzbN7broFI7drZ/Lejj87Fi5QoYVcTbdvaLLuDD45XuC4OPFE456JKTbVJch9/bENc77oLHnwQatQI+QKbN1sp8Lvusnrhw4ZZ57UrdOLa9CQiLUTkVxFZICKPRtleU0TGisg0EUkVkYvjGY9zLmeTJtkaQI0bw6hRdvWweLFV8w6dJL7+2kYzvfoqjB5tj3mSKLRCJQoRKS0idXLzwiKSBPQGLgIaANeISIMsuz0BfKyqJwBtgLdycwzn3P7zww+2BvUpp9jtLl2sUN+LL+aiK2H9euus/uc/ber1999bWXBXqOWYKETkEmAm8HVwv4mIjAjx2s2ABaq6SFW3A4OBy7Lso0Cl4HZlYHnYwJ1z+0d6OnTqZOtQz5xpI1eXLIGnnoKDDsrli730Enz4oS1wPX06nHFGXGJ2+StMH8WzwMnAWABVnR7y6uJwYGnE/bTgdSI9A3wlIvcA5YHzo72QiHQAOgDUrFkzxKGdc2HMnGn9yzNnwj332Of8AQfk8kVWrrQifg0a2ISKNm3ghBPiEq9LjDBNTztUdUOWxzTE86JNt8n6vGuA91W1BnAx0F9E9opJVfuqarKqJlerVi3EoZ1zseyqlnHSSVasddQoeOONXCYJVavyV7++1WjaVcTPk0SREyZRzBWR1kAJEaktIj2BiSGelwYcEXG/Bns3Ld0CfAygqhOAskBVnHNxs2IFXHwxdOxoXQmpqXDRRbl8kcWLoUULGyvboAF89JEX8SvCwiSKu4ETgZ3AcCAduC/E86YAdYPkUhrrrB6ZZZ/fgfMARKQ+lihWhwvdOZdbn30GjRrB+PHw9tt2P9dz3qZOhYYNbR3TXr3sxY49Ni7xuoIhTKK4UFUfUdUTgp9HsZFMMalqBpZkRgNzsdFNs0XkWRFpGez2AHCriMwABgHtVDVMs5ZzLhe2bIHbb7eqGUccYRU0br89lxcB27bZv40bQ/v2Ni37rrtsMp0r0iSnz2UR+VlVm2Z5bKqqJmQ1keTkZE1JSUnEoZ0rlKZOhWuvhfnz4aGHbF3qXE1p2LHDaof37WsZxmdVF0rB53ZyXp6b7agnEbkQaAEcLiKvRmyqhDVDOecKsMxM+3x/8kn4xz/gm2+sBHiuTJtm8yKmT4dWrawX3BU7sYbHrgJmYX0SsyMe3wTsNcvaOVdw/P67rSY3bhz8+9/wzju5nBORkWETKbp1g2rVrPzGlVfGLV5XsGWbKFR1GjBNRD5S1fR8jMk5tw+GDLE1qTMz4f33LWHkekBSUpL1QdxwA7zySh5m3rmiJEwv1OEiMjioxTRv10/cI3PO5cqff9rneps2NrVh+nS48cZcJIlNm2yK9qJF9qRhw+C99zxJuFCJ4n3gv9gEuouweQ+D4xiTcy6XfvoJmjSx6QzPPGMllnJVBnz0aBvy+vrrVtAPbOU55wiXKA5Q1dEAqrpQVZ8Actsl5pyLg4wMq+R95pl2/4cf7H7JsAsIrF1rlx0tWti07B9+sHYr5yKEeTttExEBForI7cAywJelci7BFi60Ok2TJtln/RtvWAWNXOnWDQYOtBpNTzxhC084l0WYRNEJqADcCzyPVXm9OZ5BOeeyt6vE0j332JXDkCHQunUuXmDFCruSaNjQksO119okOueykWPTk6pOUtVNqvq7ql6vqi2BJfkQm3Mui3XrLCncdJMtP52amoskoQr//a/VZmrXzu5XrOhJwuUoZqIQkZNE5HIRqRrcP05EPiRcUUDn3H707bdWp+mzz+Dll2HMGCvHEcpvv1kFwJtvthcZONCL+LnQsk0UIvIi8BHQFvg/EemMrUkxAzgmf8Jzzm3bBg8/DOefDxUqwMSJdj8pKeQL7CriN2mSVQIcOxaO8f/CLrxYfRSXAY1VdauIHIyVCG+sqr/mT2jOublzrQth+nQr4vfKK7lYMyI93TqnGze2kUydOuXiEsS5v8VqekpX1a0AqroO+MWThHP5QxXeeguaNoW0NBg50i4GQiWJHTuga1eoV886NUqWhFdf9STh8izWFcVRIjI8uC1ArYj7qKoXfnEuDlatsq6E//3Ppjf8979W1C+UlBS45Za/e7m9iJ/bD2Iliquy3O8Vz0Ccc7Yk6U03wcaNNi/i7rtD9jlnZMDjj1vb1KGHwogRtviEc/tBrKKA3+RnIM4VZ1u32loRvXvboKRvvrH+59CSkuDXX+1SpHt3OPDAuMXqih9fmsq5BJs+3eZE9O5t/c2TJoVMEn/+CffeCwsW2GXH0KHwn/94knD7nScK5xJk505rKTr5ZFi/Hr76yvqcQ1XRGDUKjjvOssu339pjXsTPxUnoRCEiZeIZiHPFybJlNv/twQfhkkus7/mCC0I8cc0auO46e1KlSlY2tkOHuMfrirccE4WINBORmcD84H5jEXkz7pE5V0QNG2b9EBMmWEvRsGFQtWrIJ3fvbsWdnn7a1q8++eS4xuochLuieAO4FFgLoKoz8DLjzuXa5s02crVVKzjqKFuOun37EKOali+HmTPt9hNPWIJ45hko4xf5Ln+ESRQlVDVrEcDMeATjXFE1eTKccILNiejc2VqMcqyioQr9+u1dxO/44/MjZOd2C5MolopIM0BFJElEOgK+FKpzIWRm2iTp006D7dth3Di7n2O/86JFVtzp1ltt6bohQ7yIn0uYMOtR3IE1P9UEVgJjgsecczEsXmz9zj/+aPWaevcOOXI1JQWaN7fSG++8Y+1TJXyAokucMIkiQ1XbxD0S54qQjz6CO++02wMG2Ep0Odq6FcqVsyuIO++Ejh2hRo24xulcGGG+pkwRkVEicqOIVMzNi4tICxH5VUQWiMij2ezTWkTmiMhsERmYm9d3rqDZsMGuHq67zkY2zZgRIkls3w5dulinxdq1diXRo4cnCVdghFnh7migK3AiMFNEPhWRHK8wRCQJ6A1cBDQArhGRBln2qQs8BpyuqscBHXN/Cs4VDOPHW0Xvjz+2fojvvoNatXJ40uTJcOKJNoqpefP4B+lcHoRq+FTVn1T1XqAp8Ce2oFFOmgELVHWRqm4HBmNrXES6FeitquuD46wKHblzBcSOHTaS6eyzoXRpG9HUuXMOCwtlZNhsu1NPtWnZn39u7VVVquRX2M6FFmbCXQURaSsinwOTgdXAaSFe+3BgacT9tOCxSMcAx4jIjyIyUURaZBNDBxFJEZGU1atXhzi0c/lj3jwb0fTCC1aPb9o0aNYsxBOTkqxG0623wuzZcOmlcY/VubwK05k9C/gc6Kaq3+fitaON5dMox68LnA3UAL4XkYaqumGPJ6n2BfoCJCcnZ30N5/LdrikOHTvavLehQ+GqrIX5s9q40S41OnaEOnXsSSXD/Bd0LrHCvEuPUtW8rH6SBkQuqVUDW0416z4TVXUH8JuI/Ioljil5OJ5z+WLNGrsQ+PRTOO88+OADODzrtXJWX3xha5muWGGjmurU8SThCo1sm55E5JXg5jARGZ71J8RrTwHqikhtESkNtAFGZtnnU4JyICJSFWuKWpTrs3Aun3z1lY1mGjXKBiZ99VUOSWL1ahsG9a9/wcEHw8SJNi/CuUIk1leaIcG/eVrZTlUzRORuYDSQBLynqrNF5FkgRVVHBtv+KSJzsLIgD6nq2rwcz7l4Sk+Hxx6Dnj2hfn1LFE2ahHhijx7WxNSlCzz6qPV2O1fIiGrsJn8RuVtVe+X0WH5JTk7WlJSURBzaFVOzZtlFwcyZtjRpt242Ly5baWmwbp1demzeDEuW2NoRziWQiExV1eS8PDfM8Nibozx2S14O5lxhomrrVicnw8qV8L//wZtvxkgSO3dayY0GDWzha1WoUMGThCv0sm16EpGrsX6F2ln6JCoCG6I/y7mi4Y8/7LP+//7P1gh67z045JAYT5g/33q4x42zHu6+fb2InysyYvVRTMbWoKiBzbDeZRMwLZ5BOZdII0fauhGbN8Nbb9lgpZif+SkpcOaZNk62Xz+bUOFJwhUh2SYKVf0N+A2rFutckbdlCzzwgLUeNWkCAwdax3W2Iov43Xsv3HcfVK+eb/E6l19iDY8dF/y7XkTWRfysF5F1+Reic/E3daqVXOrbFx56yEaxZpsktm2zpUjr1rVJFSVLwssve5JwRVaspqddy52GXc3XuUInM9NGsD7xBBx6KIwZA+eeG+MJEydau9ScOVYi1teJcMVAtu/yiNnYRwBJqpoJnArcBpTPh9ici6ulS63f+dFH4fLLITU1RpLIyID777fCTn/+aUOg+ve3SXTOFXFhvg59ii2DejTwIVAf8HUjXKE2ZIhNc5g61dax/vjjHD7zk5Jsybrbb7cifhdfnF+hOpdwYRLFzqAW05VAT1W9h72rwDpXKPz5J9x4I7RpA/XqwfTp0K5dNoOUNmywxDB/vu3wySc2DKpSpfwO27mECpMoMkTk38D1wBfBYzktDe9cgfPTTzZAacAAeOop+P57OProbHb+7DObONevn61IBDksMOFc0RV2ZvY5WJnxRSJSGxgU37Cc238yMmwBuTPPtMnS48db6aVS0b7urFwJV19tnRaHHAKTJlnntXPFWI51jlV1lojcC9QRkWOxVeuej39ozu27hQttcNLEiXDDDVaCI2bL0auvWv3w55+3cbJRs4lzxUuOiUJEzgT6A8uwxYj+ISLXq+qP8Q7OubxStXUi7rnHWowGD7YLhaiWLrUifo0bw5NPWqdFzJl2zhUvYZqeXgMuVtXTVfU04BLg9fiG5VzerVtnSeGmm2wSXWpqNkli507rnG7QwJqXdhXx8yTh3B7CJIrSqjpn1x1VnQt4UX1XII0da8NeR4yAF1+Eb76BmjWj7DhvHpx9Ntx1F5x6qq0Z4fWZnIsqzFqMP4vIO1jzE0BbvCigK2C2b7fZ1T16WGWNiRPtaiKqKVOsZ7tcOSsLm+34WOcchEsUtwP3Ag9jfRTjgTfjGZRzuTF3LrRtC9OmwW23wSuvQPlotQO2bLENTZtCp05WyO+ww/I9XucKm5iJQkSOB44GRqhqt/wJyblwVKFPH6v4Wr68DVa67LIoO6anw3PPwfvvw4wZULWqtUs550KJVT32cax8R1vgaxGJttKdcwmxahW0bAl33gnNm1uHddQk8dNPcMIJ8MILcMEFPmnOuTyI1ZndFmikqv8GTgLuyJ+QnIvtyy/h+OPh66/h9ddh1KgoLUgZGbY+xBlnwF9/2VJ1778PBx2UiJCdK9RiJYptqroFQFVX57Cvc3G3davNi7j4YisJPmWKdTNErfSdlATLltmoplmz4MIL8z1e54qKWH0UR0WslS3A0ZFrZ6vqlXGNzLkIM2bAtdfaMhAdO1oXQ9myWXZavx4eecRmVNetayVivanJuX0WK1FcleV+r3gG4lw0O3dCz57w2GNWBnz0aPjnP6PsOHy4XT2sXm3zIurW9STh3H4Sa83sb/IzEOeyWrbMpjiMGWMd1f362YClPfzxB9x9NwwbZqVhR42yzmvn3H4T134qSCY+AAAarElEQVQHEWkhIr+KyAIReTTGfq1EREUkOZ7xuMJj+HCbYf3TT7aO9YgRUZIEwGuvwRdf2KimyZM9STgXB3FLFCKSBPQGLgIaANeISIMo+1XEJvRNilcsrvDYvBnat4erroLatW0S3a23Zpk4vXixbQBbWGLGDGub8kqvzsVF6EQhImVy+drNsJLki1R1OzAYiDbS/TmgG5Cey9d3RcyuC4L33rPP/Z9+gmOOidhh506rE96woWUPVZtpV69ewmJ2rjjIMVGISDMRmQnMD+43FpEwJTwOB5ZG3E8jyxKqInICcISqfkEMItJBRFJEJGX16tUhDu0Kk8xMW/7htNNg2zYr7PfCC1A6svTk3LlWn+nee+3fYcO8PpNz+STMFcUbwKXAWgBVnYGteJeTaP+LdfdGkRJYCfMHcnohVe2rqsmqmlytWrUQh3aFxZIlVsT1iSfg3/+2GdZnnZVlp8mTraP6l1/gww+tw/rIIxMRrnPFUphEUUJVl2R5LDPE89KAIyLu1wCWR9yvCDQEvhORxcApwEjv0C4+Bg60DusZM6B/f7t/4IERO2zebP+eeKLNjZgzB66/3q8knMtnYRLFUhFpBqiIJIlIR2BeiOdNAeqKSG0RKQ20AUbu2qiqG1W1qqrWUtVawESgpaqm5P40XGGycaNVe23b1kpxzJhhy5Xu/vxPT7dOirp1bV5EUhJ07WrTsZ1z+S5MorgDuB+oCazEvvnnWPdJVTOAu4HRwFzgY1WdLSLPikjLvIfsCrPvv7cVR4cMgWefhe++s9FNu/3wg+3w0ktWq8NHMjmXcDmuR6Gqq7CrgVxT1VHAqCyPPZXNvmfn5RiucNixA7p0sdIbtWtbPjjllIgdMjKsNkfv3lCrllX8O//8RIXrnIuQY6IQkf8Q0Qm9i6p2iEtErsiZP9+amaZMsXWsX38dKlbMslPJkrBypVV87drV1q52zhUIYVa4GxNxuyxwBXsOe3UuKlWbE3HffTbU9ZNPoFWriB3WroWHH7afevWsPSpqKVjnXCKFaXoaEnlfRPoDX8ctIlckrF1rc+JGjIBzz4UPPoAaNYKNqjB0qNVoWrfO5kXUq+dJwrkCKi//M2sDPojdZWvMGBv2+sUX0L27dTfsThIrVsCVV0Lr1nDEETB1qlX+c84VWGH6KNbzdx9FCWAdkG2BP1d8bdsGjz8Or74K9etbotirRl/PnrbaXLdu0KmT9U045wq0mP9LRUSAxsCy4KGdqrpXx7Zzs2fbwkKpqbaOdffucMABwcbffrNFhZo2tSJ+7dvbHAnnXKEQs+kpSAojVDUz+PEk4faganX6kpOtVenzz22E6wEHYEWcXn/divh16PB3ET9PEs4VKmH6KCaLSNO4R+IKnT/+gEsusTp9554LM2fCpZcGG+fMgTPOsLkRZ51lvdpeesO5QinbpicRKRnMrj4DuFVEFgJbsGJ/qqqePIqxL76Am2+GTZugVy9rbtqdByZNgubNbbLEgAHWJuVJwrlCK1YfxWSgKXB5PsXiCoG//oIHH4S337ZKGwMHQoNdy1Ft2mTJITkZHnnEhr8eckhC43XO7btYTU8CoKoLo/3kU3yuAPn5Zyvk+vbbliwmTQqSxF9/2aS5yCJ+zz7rScK5IiLWFUU1Ebk/u42q+moc4nEF0M6d0KOHrRlRrVqWMkzjxtkopgULbIbdHqsNOeeKgliJIgmoQPQFiFwxsXQp3HijrTp31VXwzjtQpQpWxO+ee6BPHzjqKPjmG+vRds4VObESxQpVfTbfInEFzief2KjWHTvg3XetoN/uPumSJW1uxP33w3PPRUyacM4VNTn2UbjiZ9Mmq6rRujUccwxMn24jnGTtGtvw66+248CB8MorniScK+JiJYrz8i0KV2BMmGDLU/fvD08+aetG1DlaYfBgq8vx0UcwcaLt7EX8nCsWsv2frqrr8jMQl1gZGbaw0JlnWuf1uHE2cKnUqmVw+eVwzTW24tDPP1unhXOu2PCKbI5Fi2zN6gkT7N9evaBy5WDjm2/aMKcePWyWdVJSQmN1zuU/bzsoxlThww+tqWnOHOty6N8fKq9ZaOW/wdqfUlPhgQc8SThXTHmiKKbWr4c2bawV6YQTYMYMuKZ1ptUIP/54uO22v4v41amT6HCdcwnkiaIY+u47W1ho+HB44QX49ls4ctMsOO00u3I4/3z47DOvz+ScA7yPoljZvt2Wg+jWzS4SJkywskxMmmS92JUrw6BBcPXVniScc7t5oigmfvkF2ra1QUu33gqvvQblM/8EKlm26NwZ7roLqlZNdKjOuQLGm56KOFWrstG0KSxZYstC9O35F+WfftCK+K1aZZ3UTz/tScI5F1VcE4WItBCRX0VkgYjstc62iNwvInNEJFVEvhGRI+MZT3GzejVcdhnccYe1LKWmwuWVx1pn9SuvwBVXQNmyiQ7TOVfAxS1RiEgS0Bu4CGgAXCMiDbLsNg1IVtVGwFCgW7ziKW7+7/8sH4webc1MX36eQfUut1nhvhIlrMpfnz5QqVKiQ3XOFXDxvKJoBixQ1UWquh0YDFwWuYOqjlXVv4K7E4EacYynWNi6Fe67Dy66yEqCT5li8+RKlC4JGzfCQw/ZWNizz050qM65QiKeieJwYGnE/bTgsezcAnwZx3iKvNRUOOkkeOMNSxZT/reKRj1usJ5ssBl13bp5ET/nXK7EM1FEG1+pUXcUuQ5IBrpns72DiKSISMrq1av3Y4hFw86d1rx00kmwdi3835dKz5M+omzTBlbMb8oU29GL+Dnn8iCenxxpwBER92sAy7PuJCLnA52Blqq6LdoLqWpfVU1W1eRq1arFJdjCavlyaNHCloVo0QJmfbmUC3v9y4o21a1rNcKvvz7RYTrnCrF4JoopQF0RqS0ipYE2wMjIHUTkBOAdLEmsimMsRdKIETbD+ocfrF/600+hyuDe1lHds6dtaJB1/IBzzuVO3BKFqmYAdwOjgbnAx6o6W0SeFZGWwW7dseVWPxGR6SIyMpuXcxE2b7ZJc1deCUceCTOHz+e2E1NsMvVTT8GsWdZJ4UX8nHP7QVxnZqvqKGBUlseeirh9fjyPXxRNmWIzrBcsgMcfzqDLga9R8oqnoGFDmDzZOqpr1050mM65IsR7NwuJzEwr4HfaaZCeDpP+k8rz355Kyccfhgsv9CJ+zrm48VpPhcCSJdYf/f33Vq+v7y2TqHTxGXDwwfDxx9CqlScJ51zceKIo4AYNshIcO3fCoD4bubpDZWRnsi0odNddUKVKokN0zhVx3vRUQG3caCNcr70WmtbbwtKrOtLmybrI6qCI31NPeZJwzuULv6IogH74wZJEWhp8cP0Yrv/+VmTyYruCKFcu0eE554oZv6IoQHbssBals86C0iUyWH7RLdzQ/wKkdGkYPx569YKKFRMdpnOumPFEUUDMnw9nnAFdu8INN8DUGSU5pFI6PPqoza4+88xEh+icK6a86SnBVOG992x+XPWklSw+436OfPgJqFgfBgzw0UzOuYTzK4oEWrvWRra2b688fkR/5pZowJGTh8LUqbaDJwnnXAHgVxQJMmYM3HgjlF31Owvr3c5Rv3wJp54K774L9esnOjznnNvNryjy2bZt8OCDcMEF1i/943Vvc1TaeFtE4vvvPUk45wocv6LIR7NnW52mrTN+5aUrN3JP/2YcwJPw9G1Qq1aiw3POuaj8iiIfqNrI1lNO3MFVC15iTqnGPPL7XRxQTq2InycJ51wB5lcUcbZyJdx8MywfNY1plW6hzp/TrD54r17eWe2cKxT8iiKOvvgCjj8eNn89gaklTuLocsth6FAYNgwOOyzR4TnnXCieKOLgr7/gzjvhun9t4LDD4K2pJ1Pi2S7InDlw1VWJDs8553LFm572s2nToH2bzdw473HSyg2i1OezKFPzUDi+c6JDc865PPFEsZ/s3AmvvAJjH/uKT+lADfkdaX83HFw+0aE559w+8aan/SAtDVqct4OqD9/EqMwLqV67LPL99zY3okKFRIfnnHP7xBPFPvrkE2jUCH6cXIozT96OPt6ZpJnT4fTTEx2ac87tF54o8mjTJrjv6j/IbN2GCw6fw/TpUGfCAOT5rlC2bKLDc865/cb7KPJg4gRl+GUf8MzqTlRI2kqrh1pSsm4DwOdFOOeKHk8UuZCRAb0fWkyDnh3oxtdsbHQGpT7uB/XqJTo05wqkHTt2kJaWRnp6eqJDKTbKli1LjRo1KFWq1H57TU8UIS1aBNdfD5f81JczSk5g60u9qdzpdijhrXfOZSctLY2KFStSq1YtxCsRxJ2qsnbtWtLS0qhdu/Z+e13/lMuBKnz60i/ccvxkZs2Co//7JOUWzqbcA3d6knAuB+np6VSpUsWTRD4REapUqbLfr+DiekUhIi2A14EkoJ+qvpRlexngQ+BEYC1wtaoujmdMubF+1Q5Gn9+dK2Z24ZgKjTlg+iRq1S4H1Ex0aM4VGp4k8lc8ft9x+0osIklAb+AioAFwjYg0yLLbLcB6Va0DvAa8HK94ciul788sq9GMNjM7s/D4y6n36+fUqu1veOdc8RPPtpNmwAJVXaSq24HBwGVZ9rkM+CC4PRQ4TxL89SMzE96+YQJNbmvGITv/YH63ETRIHUJS9UMTGZZzbh+MGDECEeGXX37Z/dh3333HpZdeusd+7dq1Y+jQoYB1xD/66KPUrVuXhg0b0qxZM7788st9juXFF1+kTp061KtXj9GjR0fdp127dtSuXZsmTZrQpEkTpk+fDsBnn31Go0aNaNKkCcnJyfzwww/7HE8Y8Wx6OhxYGnE/DTg5u31UNUNENgJVgDWRO4lIB6ADQM2a8W32KVECxqWfzCEndeXCYbdxyBEHxfV4zrn4GzRoEGeccQaDBw/mmWeeCfWcJ598khUrVjBr1izKlCnDypUrGTdu3D7FMWfOHAYPHszs2bNZvnw5559/PvPmzSMpKWmvfbt3706rVq32eOy8886jZcuWiAipqam0bt16j+QXL/FMFNGuDDQP+6CqfYG+AMnJyXtt359EYMDAEpQs+Wg8D+NcsdOxIwRfjPebJk2gZ8/Y+2zevJkff/yRsWPH0rJly1CJ4q+//uI///kPv/32G2XKlAHg0EMPpXXr1vsU72effUabNm0oU6YMtWvXpk6dOkyePJlTTz011PMrRJQE2rJlS771/8Sz6SkNOCLifg1geXb7iEhJoDKwLo4xhVLSBw07V2R8+umntGjRgmOOOYaDDz6Yn3/+OcfnLFiwgJo1a1KpUqUc9+3UqdPuJqLIn5deemmvfZctW8YRR/z9sVijRg2WLVsW9XU7d+5Mo0aN6NSpE9u2bdv9+IgRIzj22GO55JJLeO+993KMb3+I50fiFKCuiNQGlgFtgGuz7DMSuBGYALQCvlXVuF4xOOcSI6dv/vEyaNAgOnbsCECbNm0YNGgQTZs2zfbbeG6/pb/22muh94328RbteC+++CL/+Mc/2L59Ox06dODll1/mqaeeAuCKK67giiuuYPz48Tz55JOMGTMmV/HmRdwSRdDncDcwGhse+56qzhaRZ4EUVR0JvAv0F5EF2JVEm3jF45wrftauXcu3337LrFmzEBEyMzMREbp160aVKlVYv379HvuvW7eOqlWrUqdOHX7//Xc2bdpExYoVYx6jU6dOjB07dq/H27Rpw6OP7tmEXaNGDZYu/bvrNi0tjerVq+/13MOCFTDLlCnDTTfdRI8ePfbap3nz5ixcuJA1a9ZQtWrVmDHuM1UtVD8nnniiOucKhzlz5iT0+H369NEOHTrs8Vjz5s11/Pjxmp6errVq1dod4+LFi7VmzZq6YcMGVVV96KGHtF27drpt2zZVVV2+fLn2799/n+KZNWuWNmrUSNPT03XRokVau3ZtzcjI2Gu/5cuXq6rqzp079b777tNHHnlEVVXnz5+vO3fuVFXVqVOnavXq1XffjxTt9459Qc/T5663xjvniqxBgwbt9a3+qquuYuDAgZx55pkMGDCAm266ifT0dEqVKkW/fv2oXLkyAF27duWJJ56gQYMGlC1blvLly/Pss8/uUzzHHXccrVu3pkGDBpQsWZLevXvvHvF08cUX069fP6pXr07btm1ZvXo1qkqTJk3o06cPAMOGDePDDz+kVKlSlCtXjiFDhuRLh7ZoIesSSE5O1pSUlESH4ZwLYe7cudSvXz/RYRQ70X7vIjJVVZPz8nperMg551xMniicc87F5InCORdXha15u7CLx+/bE4VzLm7Kli3L2rVrPVnkEw3Woyi7n5dj9lFPzrm4qVGjBmlpaaxevTrRoRQbu1a42588UTjn4qZUqVL7daU1lxje9OSccy4mTxTOOedi8kThnHMupkI3M1tEVgNL8uFQVcmygFIhVpTOBYrW+RSlc4GidT5F6VwA6qlq7AqH2Sh0ndmqWi0/jiMiKXmd7l7QFKVzgaJ1PkXpXKBonU9ROhew88nrc73pyTnnXEyeKJxzzsXkiSJ7fRMdwH5UlM4Fitb5FKVzgaJ1PkXpXGAfzqfQdWY755zLX35F4ZxzLiZPFM4552Iq9olCRFqIyK8iskBEHo2yvYyIDAm2TxKRWvkfZTghzuV+EZkjIqki8o2IHJmIOMPK6Xwi9mslIioiBXYoY5hzEZHWwd9ntogMzO8YcyPEe62miIwVkWnB++3iRMQZhoi8JyKrRGRWNttFRN4IzjVVRJrmd4xhhTiXtsE5pIrITyLSONQL53Wx7aLwAyQBC4GjgNLADKBBln3uBPoEt9sAQxId9z6cyznAAcHtOwrquYQ9n2C/isB4YCKQnOi49+FvUxeYBhwU3D8k0XHv4/n0Be4IbjcAFic67hjn0xxoCszKZvvFwJeAAKcAkxId8z6cy2kR77GLwp5Lcb+iaAYsUNVFqrodGAxclmWfy4APgttDgfMkP1Yzz70cz0VVx6rqX8HdicD+rUW8f4X52wA8B3QD0vMzuFwKcy63Ar1VdT2Aqq7K5xhzI8z5KFApuF0ZWJ6P8eWKqo4H1sXY5TLgQzUTgQNF5LD8iS53cjoXVf1p13uMXHwGFPdEcTiwNOJ+WvBY1H1UNQPYCFTJl+hyJ8y5RLoF+5ZUUOV4PiJyAnCEqn6Rn4HlQZi/zTHAMSLyo4hMFJEW+RZd7oU5n2eA60QkDRgF3JM/ocVFbv9vFRahPwMKXQmP/SzalUHW8cJh9ikIQscpItcBycBZcY1o38Q8HxEpAbwGtMuvgPZBmL9NSaz56WzsW973ItJQVTfEOba8CHM+1wDvq+orInIq0D84n53xD2+/KyyfAaGJyDlYojgjzP7F/YoiDTgi4n4N9r5E3r2PiJTELqNjXaYmSphzQUTOBzoDLVV1Wz7Flhc5nU9FoCHwnYgsxtqORxbQDu2w77PPVHWHqv4G/IoljoIozPncAnwMoKoTgLJYkb3CKNT/rcJCRBoB/YDLVHVtmOcU90QxBagrIrVFpDTWWT0yyz4jgRuD262AbzXoCSpgcjyXoKnmHSxJFOQ2cMjhfFR1o6pWVdVaqloLa29tqap5LnwWR2HeZ59igw0QkapYU9SifI0yvDDn8ztwHoCI1McSRWFdD3UkcEMw+ukUYKOqrkh0UHkhIjWB4cD1qjov9BMT3Uuf6B9sRMM8bBRH5+CxZ7EPHbA3+CfAAmAycFSiY96HcxkDrASmBz8jEx3zvpxPln2/o4COegr5txHgVWAOMBNok+iY9/F8GgA/YiOipgP/THTMMc5lELAC2IFdPdwC3A7cHvG36R2c68wC/j7L6Vz6AesjPgNSwryul/BwzjkXU3FvenLOOZcDTxTOOedi8kThnHMuJk8UzjnnYvJE4ZxzLiZPFK7AEZFMEZke8VMrxr61squUmctjfhdUQ50RlNGol4fXuF1EbghutxOR6hHb+olIg/0c5xQRaRLiOR1F5IB9PbYrvjxRuIJoq6o2ifhZnE/HbauqjbEikN1z+2RV7aOqHwZ32wHVI7a1V9U5+yXKv+N8i3BxdgQ8Ubg880ThCoXgyuF7Efk5+Dktyj7Hicjk4CokVUTqBo9fF/H4OyKSlMPhxgN1gueeF6ypMDOo9V8mePwl+Xttjx7BY8+IyIMi0gqrpfVRcMxywZVAsojcISLdImJuJyJv5jHOCUQUpxORt0UkRWw9iy7BY/diCWusiIwNHvuniEwIfo+fiEiFHI7jijlPFK4gKhfR7DQieGwVcIGqNgWuBt6I8rzbgddVtQn2QZ0WlI+4Gjg9eDwTaJvD8f8FzBSRssD7wNWqejxWuO8OETkYuAI4TlUbAV0jn6yqQ4EU7Jt/E1XdGrF5KHBlxP2rgSF5jLMFVvpjl86qmgw0As4SkUaq+gZWl+gcVT0nKA/yBHB+8LtMAe7P4TiumCvu1WNdwbQ1+LCMVAroFbTJZ2K1kLKaAHQWkRrAcFWdLyLnAScCU8SWESmHJZ1oPhKRrcBirCx2PeA3/bsmzgfAXUAvbP2LfiLyPyB0mXNVXS0ii4KaQfODY/wYvG5u4iyPLSAUudpaaxHpgP2/Pgwro5Ga5bmnBI//GBynNPZ7cy5bnihcYdEJq1PVGLsS3muhIlUdKCKTgEuA0SLSHqvT84GqPhbiGG01oqigiERdd0RVM0SkGVb0rg1wN3BuLs5lCNAa+AUYoaoq9qkdOk6shtJLWA2iK0WkNvAgcJKqrheR97E6ZVkJ8LWqXpOLeF0x501PrrCoDKxQW8/geuzb9B5E5ChgUdDcMhJrgvkGaCUihwT7HCzh1wr/BaglInWC+9cD44I2/cqqOgrrKI428mgTVgo9muHA5diaDUOCx3IVp6ruwJqQTgmarSoBW4CNInIotsxltFgmAqfvOicROUBEol2dObebJwpXWLwF3CgiE7Fmpy1R9rkamCUi04FjseUr52AfqF+JSCrwNdYskyNVTQduAj4RkZnATqAP9qH7RfB647CrnazeB/rs6szO8rrrsSqxR6rq5OCxXMcZ9H28AjyoqjOwNbdnA+9hzVm79AW+FJGxqroaG5E1KDjOROx35Vy2vHqsc865mPyKwjnnXEyeKJxzzsXkicI551xMniicc87F5InCOedcTJ4onHPOxeSJwjnnXEz/D9tF3B8ODT6HAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ed1c3860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_pred = clf.predict(x_test)\n",
    "model_performance(clf, 'Random Forest', x_train, y_train, y_test, y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 梯度Boosting "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "clf = GradientBoostingClassifier(random_state=10, learning_rate=0.1, n_estimators=200, max_depth=5, max_features=10)\n",
    "clf.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = clf.predict(x_test)\n",
    "model_performance(clf, 'Grandient Boosting', x_train, y_train, y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for feature, score in zip(features_of_choice, list(clf.feature_importances_)):\n",
    "    print('%s\\t\\t\\t\\t\\t%f' % (feature, score))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
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